{"access":{"advertiser_pricing_url":"https://aidevboard.com/pricing","catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"f115ce97-f6c4-4c2d-9602-6a9e48528e12","company_id":"b6db41bc-ba14-4906-b2f7-a3ce9289a346","title":"Software Engineer, AI Platform","slug":"software-engineer-ai-platform-305af12e","description":"WHO WE ARE\n\nNotion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.\n\n\n\nNotinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.\n\n\n\n\nABOUT THE ROLE:\n\nMillions of people use Notion — and this number is increasing every day. That means millions of people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion.\n\nThe AI Platform team is responsible for building the shared foundations that let Notion ship AI products quickly and operate them safely at scale. You’ll join a team of talented engineers focused on making speed and quality compatible: reliability and availability through provider changes, quality and correctness systems like evals and release gates, observability that makes failures explainable, and shared primitives for model integrations, context management, long-running actions, and cost/performance tradeoffs. Notion’s AI platform is vital to helping product teams move faster with production-grade guardrails as models, providers, and AI capabilities rapidly evolve.\n\nThis role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.\n\n\n\n\nWHAT YOU'LL ACHIEVE:\n\n - You'll own and play a pivotal role in the prototyping, development and scaling of systems and core AI platform primitives.\n\n - You’ll partner closely with product teams to provide paved paths and production-ready guardrails that help new AI features ship faster with less duplicated work.\n\n - You’ll work across infrastructure, shared libraries, APIs, and product integration points to make AI platform capabilities easy to adopt and high-leverage across Notion.\n\n - You’ll operate critical AI systems in production, using observability and diagnostics to understand provider/model behavior, debug failures, improve latency and cost, and evolve systems with minimal user disruption.\n\n - You’ll help Notion safely adopt new models, providers, and AI capabilities through versioning, controlled rollouts, compatibility layers, and clear quality/reliability gates.\n\n\n\n\nSKILLS YOU'LL NEED TO BRING:\n\n - Passion for AI systems at scale: You’ve worked on LLM, ML platform, data, or infrastructure teams that own critical shared systems. You understand the challenges of scaling reliability, latency, cost, and quality as usage and model complexity grow. You care deeply about building platforms that are dependable, efficient, and easy for other engineers to use.\n\n - Adaptable and curious: You like going deep on how systems behave in practice, especially when models, providers, and product requirements are changing quickly. You’re eager to use AI tools to work smarter and are willing to move across backend, infrastructure, libraries, and product code when that’s what the problem requires.\n\n - Extreme ownership: You’re comfortable working across ambiguous problem spaces, aligning stakeholders around a clear path forward, and driving execution with accountability. You take ownership of platform outcomes including reliability, quality, adoption, and operational follow-through beyond team boundaries.\n\n - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose ambiguous system behavior, debug across layers, and work toward clean, pragmatic solutions by yourself or with teammates. You’re comfortable asking for help when you get stuck.\n\n - Pragmatic and business-oriented: You understand that AI platform work is full of tradeoffs across quality, latency, cost, reliability, and speed of execution. You prioritize based on product and business impact, balancing craft with urgency and operational simplicity.\n\n\n\n\nNICE TO HAVES:\n\n - 2-4 years of experience as a Software Engineer\n\n - Experience with applied AI product development (prompting, evals, model integrations, or quality measurement).\n\n - You've built out and scaled data processing pipeli","salary_min":180000,"salary_max":201000,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"junior","tags":["agents","mlops","llm","data-pipeline","platform"],"apply_url":"https://jobs.ashbyhq.com/notion/a9d4a192-d31c-48d2-8156-e2a75d98eec1/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T14:23:31.706Z","expires_at":"2026-08-14T14:04:38.933673Z","created_at":"2026-07-15T14:04:39.064153Z","updated_at":"2026-07-15T14:04:39.064153Z","company_name":"Notion","company_slug":"notion","company_logo_url":"https://www.google.com/s2/favicons?domain=notion.so\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f115ce97-f6c4-4c2d-9602-6a9e48528e12"},{"id":"21fc5b88-2cc6-41e7-aabb-4eb32c4e3b24","company_id":"6ea0f41a-b13e-481a-b410-5195f391f939","title":"Staff Platform Engineer, Service Infrastructure","slug":"staff-platform-engineer-service-infrastructure-e2c5b795","description":"About the Role \n Together AI is hiring a Staff Platform Engineer to join the Product Foundations engineering organization and drive its service infrastructure strategy.\n Product Foundations builds and operates Together’s mission-critical product platforms that support all cloud products, including API Platform (non-Inference), web UI Platform, Billing, and customer-facing IAM. These services sit on the critical path for customers and internal systems.\n This is a hands-on Staff role focused on evolving Product Foundations’ core infrastructure strategy from the inside: understanding service team needs, turning repeated infrastructure problems into reusable patterns, and coordinating across platform owners so Product Foundations services are reliable, repeatable, and built on the right company-wide foundations.\n Responsibilities \n \n Own the technical direction for service infrastructure within Product Foundations, including Kubernetes, AWS, Terraform, CDNs, ALBs, DNS, IAM, service networking, and related operational patterns.\n Up-level existing Product Foundations services by improving reliability, operability, deployment safety, infrastructure consistency, and production readiness.\n Partner deeply with API Platform and UI Platform on networking, DNS, CDN, load balancing, delivery, and gateway patterns for critical customer-facing interfaces.\n Work closely with Infrastructure, Networking, and Security teams to bring company-wide platform standards into Product Foundations and contribute PF requirements back into shared frameworks.\n Help drive cross-company infrastructure initiatives that Product Foundations depend on or help maintain, including Terraform CI/CD, Kubernetes networking, zero-trust service communication, policy-as-code, and cross-DC/provider networking.\n Build and evolve reusable service infrastructure primitives, including Helm charts, Terraform modules, GitHub Actions/GitOps workflows, service scaffolding, runbooks, and documentation.\n Establish durable technical standards through design docs, architecture reviews, mentorship, and hands-on implementation that help Together scale services across teams, regions, and cloud environments.\n \n Requirements \n \n 7+ years of professional experience in platform engineering, service infrastructure, SRE, distributed systems, cloud infrastructure, or related roles.\n Deep production experience with Kubernetes, including EKS, Helm, ArgoCD/Argo Rollouts, ingress, autoscaling, secrets, service identity, networking, and progressive delivery.\n Strong Terraform experience, including module design, infrastructure CI/CD, policy enforcement, production applies, and safe self-service workflows.\n Experience operating networking and edge infrastructure such as CDNs, ALBs/NLBs, DNS, TLS, ingress/egress controls, and traffic management.\n Proficiency in one or more programming languages used for infrastructure tooling and automation, such as Go, Python, TypeScript, or similar.\n AWS experience, ideally including EKS, IAM, VPC networking, load balancing, Route 53, CloudFront, ECR, and related service infrastructure.\n Direct experience with observability systems, including metrics, logs, traces, dashboards, alerting, SLOs, and incident response.\n Proven ability to lead cross-functional technical initiatives across product engineering, infrastructure, networking, and security teams.\n Strong written communication skills, with experience producing clear design docs, migration plans, operational guidance, and technical standards.\n Staff-level judgment: you can define ambiguous problems, make pragmatic tradeoffs, influence without authority, and leave both systems and teams better than you found them.\n \n Nice to Have \n \n Experience building internal developer platforms or paved-path service frameworks used by many engineering teams.\n Experience embedding infrastructure best practices into product engineering teams at scale.\n Experience with service mesh or zero-trust infrastructure such as mTLS, SPIFFE/SPIRE, Cilium, Istio, Linkerd, Envoy, or similar.\n Experience with OPA, Gatekeeper, Kyverno, Sentinel, or other policy-as-code systems.\n Experience with multi-region, multi-cluster, hybrid-cloud, or cross-provider service networking.\n Experience with supply-chain security, image signing, SBOMs, vulnerability management, or compliance automation.\n \n About Together AI \n Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the nex","salary_min":240000,"salary_max":280000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","payments","distributed-systems","platform","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/togetherai/jobs/5180690007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T22:06:31Z","expires_at":"2026-08-14T14:02:21.334902Z","created_at":"2026-07-12T14:01:51.382499Z","updated_at":"2026-07-15T14:02:21.458268Z","company_name":"Together AI","company_slug":"together-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=together.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/21fc5b88-2cc6-41e7-aabb-4eb32c4e3b24"},{"id":"e61519b6-b880-4ea2-8718-17b134db59b6","company_id":"3da82454-107f-427f-88e7-01f315ef93fb","title":"Member of Technical Staff - Sandbox Platform","slug":"member-of-technical-staff-sandbox-platform-ff44059b","description":"OWN YOUR INTELLIGENCE\n\n\n\nPrime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.\n\n\n\nOur platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.\n\n\n\nPrime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.\n\n\nROLE IMPACT\n\nThis is a hybrid role spanning both our infrastructure layers and developer platform. You'll work on two key areas:\n\n 1. The underlying sandbox infrastructure that powers our training systems\n\n 2. Our developer-facing platform for AI workload management\n\nYou will work on a distributed system with performance engineering at its core. The role will draw on the full breadth of your systems skills, from deep Linux kernel topics to high-level distributed system design. Expect your low-level systems fortitude to be pushed as you build infrastructure that remains fast, robust, and reliable at scale.\n\n\nCORE TECHNICAL RESPONSIBILITIES\n\nInfrastructure Development\n\n - Design and implement distributed orchestration infrastructure in Go and Rust\n\n - Build high-performance networking and coordination components\n\n - Create infrastructure automation pipelines with Ansible\n\n - Manage cloud resources and container orchestration\n\n - Implement scheduling systems for heterogeneous hardware (CPU, GPU, TPU)\n\nPlatform Development\n\n - Build intuitive web interfaces for AI workload management and monitoring\n\n - Develop REST APIs and backend services in Python\n\n - Create real-time monitoring and debugging tools\n\n - Implement user-facing features for resource management and job control\n\n\nTECHNICAL REQUIREMENTS\n\nInfrastructure Skills\n\n - Systems programming experience with Rust\n\n - Strong Linux systems knowledge, including networking, namespacing, and performance tuning\n\n - Virtualization experience, including VMs, hypervisors, and low-level resource management\n\n - Infrastructure automation (Ansible, Terraform)\n\n - Container orchestration (Kubernetes)\n\n - Cloud platform expertise (GCP preferred)\n\n - Observability tools (Prometheus, Grafana)\n\nPlatform Skills\n\n - Strong Python backend development (FastAPI, async)\n\n - Modern frontend development (TypeScript, React/Next.js, Tailwind)\n\n - Experience building developer tools and dashboards\n\n - RESTful API design and implementation\n\n\nNICE TO HAVE\n\n - Experience with GPU computing and ML infrastructure\n\n - Knowledge of AI/ML model architecture and training\n\n - High-performance networking implementation\n\n - Open-source infrastructure contributions\n\n - WebSocket/real-time systems experience\n\n\nWHAT WE OFFER\n\n - Cash Compensation Range of $150-300k with significant equity incentives\n\n - Flexible work arrangement (San Francisco office preferred, remote possible for exceptional candidates)\n\n - Full visa sponsorship and relocation support\n\n - Professional development budget for courses and conferences\n\n - Regular team off-sites and conference attendance\n\n - Opportunity to shape the future of decentralized AI development\n\n\nGROWTH OPPORTUNITY\n\nYou'll join a team of experienced engineers and researchers working on cutting-edge problems in AI infrastructure. We believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions.\n\nWe value potential over perfection - if you're passionate about democratizing AI development and have experience in either platform or infrastructure development (ideally both), we want to talk to you.\n\nReady to help shape the future of AI? Apply now and join us in our mission to make powerful AI models accessible to everyone.","salary_min":150000,"salary_max":300000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","api-design","distributed-systems","agents","platform"],"apply_url":"https://jobs.ashbyhq.com/PrimeIntellect/26c41d54-f823-4aac-8fdf-4e78fc760184/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T18:45:38.023Z","expires_at":"2026-08-14T14:12:07.75407Z","created_at":"2026-05-10T14:11:00.913248Z","updated_at":"2026-07-15T14:12:07.877438Z","company_name":"Prime Intellect","company_slug":"PrimeIntellect","company_logo_url":"https://www.google.com/s2/favicons?domain=primeintellect.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e61519b6-b880-4ea2-8718-17b134db59b6"},{"id":"1f1277bf-6df0-4958-98b7-f80a494a37bc","company_id":"ec4a8bb4-3840-4054-8ccd-77e81db037af","title":"Senior Software Engineer, Agentic AI Platform","slug":"senior-software-engineer-agentic-ai-platform-4f22bc2d","description":"C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI \n C3 AI is building the platform that makes autonomous intelligence reliable in the real world. We are looking for a senior software engineer to help build the C3 Agentic AI Platform — the system on which AI agents observe, reason, decide, and act on live operational data across critical industries such as manufacturing, energy, defense, and healthcare. This is production AI where wrong actions have real consequences, so the bar is accuracy, performance, and safety you can measure.\n The ideal candidate has a strong computer science and mathematics background and has built scalable software systems that ran in production. You thrive in a fast-paced, highly collaborative environment, communicate clearly, and hold a high bar without ego. You also treat curiosity as a survival skill: the models, tools, and techniques in this space change monthly, and you want to learn faster than the market.\n As a C3 Agentic AI Platform engineering team member, you will closely collaborate with product owners and data scientists and be responsible for the entire software engineering lifecycle. Our agents do not run in toy environments; they operate where mistakes can break equipment, delay missions, or create safety risk. Agent accuracy, performance, and safety are the product itself — not compliance cleanup — and everything you build must be measurable, explainable, and reliable in production.\n Responsibilities\n \n Architect and build the systems, tools, and frameworks that let data scientists and developers create, deploy, and operate agentic AI applications on the C3 Agentic AI Platform — applying sound design principles to ground agents in governed enterprise data and run them on reliable, scalable runtimes and end-to-end pipelines in a distributed system.\n Advance agent accuracy: build the evaluations, grounding, and feedback loops that measure and improve correctness, reduce hallucination, and track override rates in production.\n Drive agent performance: optimize latency, throughput, scalability, and inference cost across the platform.\n Strengthen agent safety: implement inherited permissions, guardrails, human-approval and escalation paths, auditability, and rollback so that autonomy stays bounded and is earned one workflow at a time.\n Collaborate with and support data scientists to understand the utility of the C3 Agentic AI Platform and define new requirements.\n Work with product owners to define and lead the development of longer-term platform capabilities.\n Mentor junior members of the team.\n \n Qualifications\n \n Advanced degree in computer science, math, or a similar field.\n Strong command of software architecture and design principles, with a track record of designing scalable, reliable, and maintainable systems and making architectural trade-offs deliberately.\n Thorough knowledge of data structures, algorithms, profiling/optimization, and Object-Oriented and Functional Programming.\n Strong programming skills in Java, Python, and JavaScript.\n High proficiency with agentic coding tools (e.g., Claude Code, Cursor) — going beyond individual tool use to orchestrate engineering workflows across multiple agents working in parallel. You decompose work, delegate to and coordinate several coding agents at once, and review their output with the judgment to catch subtle bugs, security issues, and architectural drift, all while collaborating closely with teammates and keeping code correct, secure, and maintainable.\n In-depth understanding of machine learning algorithms; familiarity with LLMs and AI agent architectures is a strong plus.\n Proven track record of applying machine learning or AI in a production system.\n Demonstrated end-to-end ownership of projects, including making key design decisions and understanding the tradeoffs.\n A minimum of 5 years of work experience in a fast-paced software company.\n \n Growth and learning\n \n Work at the frontier of agent reliability — evaluations, grounding, guardrails, orchestration, and inference performance at enterprise scale — and build expertise that is scarce and in demand.\n Learn from a high-bar team and help others do the same. Technical disagreement is welcome here, and the best idea wins, even when it comes from the newest person in the room.\n Grow as an engineer without being pushed into management — senior individual-contributor, agent, and domain-expertise paths are real and respected.\n C3 AI invests in your education, including funding a fully-online m","salary_min":160000,"salary_max":219000,"location":"Redwood City, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","healthcare","llm","distributed-systems","generative-ai","platform"],"apply_url":"https://c3.ai/job-description/8621286002?gh_jid=8621286002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-06T17:18:05Z","expires_at":"2026-08-14T14:11:57.839973Z","created_at":"2026-07-07T14:11:27.29034Z","updated_at":"2026-07-15T14:11:57.966935Z","company_name":"C3 AI","company_slug":"c3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=c3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1f1277bf-6df0-4958-98b7-f80a494a37bc"},{"id":"4d0faf55-0a34-428c-aea7-7affb6feee8b","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Sr. Director, Enterprise AI Platform Engineering","slug":"sr-director-enterprise-ai-platform-engineering-a68c17ae","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As Sr. Director, AI Enterprise Platform Engineering, you will build the AI foundation that every internal AI use case runs on top of. The platform you create will be the control plane through which all AI activity at SentinelOne is governed, observed, secured, and scaled — serving both custom-developed AI applications built by SentinelOne engineering teams and vendor-deployed AI solutions such as Claude Enterprise and Gemini Enterprise.\n What Will You Do?\n Primary responsibilities include :  \n \n Own and execute the roadmap for SentinelOne's enterprise AI platform — the Gateway, Harness, and Semantic Layers — moving us from direct-to-LLM connections to a governed, multi-model control plane.\n Design and build the AI Gateway layer: centralized identity and AuthN/Z, token budgeting, DLP and content guardrails, multi-model routing and failover, MCP allow-listing, and a full audit trail across every AI request.\n Build and operate the Harness layer: agent orchestration (LangGraph or equivalent), prompt construction and context management, memory and state across multi-turn interactions, model abstraction across Anthropic, OpenAI, Google, and others via providers such as AWS Bedrock and Vertex, and MCP/tool wiring for internal and SaaS-embedded agents. \n Own the technical roadmap for SentinelOne's Claude \u0026 Gemini Enterprise plugin framework — a growing library of role-based skills and agents that surface AI capabilities to employees in the context of their specific roles. This includes expanding coverage across more roles and use cases, maturing the way plugins are securely authored, tested, and deployed, and continuously improving the quality and reliability of each plugin's outputs.\n Partner closely with Enterprise Data, Enterprise Apps, Product Development, and Infosec to connect the platform to governed data sources, align on security controls, and ensure every integration is built on shared architectural contracts.\n Govern how agents — whether user-instantiated in Anthropic, Google, or OpenAI products, engineered by SentinelOne teams, embedded in SaaS platforms, or arriving from external partners — interact with our systems, ensuring every caller passes through the same policy controls regardless of origin.\n Hire, mentor, and technically lead a team of engineers; set standards, review architecture decisions, and create an environment where strong engineers do their best work.\n Communicate platform status, architecture decisions, and risk posture clearly to executive stakeholders.\n \n What Skills and Knowledge Will You Bring?\n Ideal candidates will have: \n \n You have built at least one production platform — AI or otherwise — that enforced centralized policy across multiple consumers: auth/AuthN/Z, rate limiting, observability, and audit logging. Bonus if that platform touched AI specifically (LLM gateway, model routing, or orchestration), but strong candidates from API platform, data platform, or developer platform backgrounds are equally welcome. What matters is that you can describe what you built, the tradeoffs you made, and what you'd do differently.\n Hands-on depth in agent orchestration (LangGraph or equivalent), including experience routing to hosted model providers such as AWS Bedrock and Google Vertex. You understand how context windows, memory,","salary_min":198750,"salary_max":298000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["agents","security","cloud","llm","api-design","platform"],"apply_url":"https://www.sentinelone.com/jobs/7782516003?gh_jid=7782516003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-28T16:28:38Z","expires_at":"2026-08-14T14:21:34.060472Z","created_at":"2026-06-29T14:18:09.700386Z","updated_at":"2026-07-15T14:21:34.156057Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4d0faf55-0a34-428c-aea7-7affb6feee8b"},{"id":"35697ac3-d1ba-4ab6-b9f5-77d613e7a47a","company_id":"654d4532-88db-435d-8a6f-161b8c5a491e","title":"ML Platform Engineer","slug":"ml-platform-engineer-e73cb59a","description":"About Stitch Fix, Inc. \n Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours.  We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.\n About the Role \n As an ML Platform Engineer at Stitch Fix, you will play a key role in building and maintaining the critical infrastructure that powers machine learning and AI across our organization. You will design, develop, and support scalable, resilient services and frameworks for ML model training and deployment, feature engineering and serving, candidate generation, AI agent deployment and observability, and other core platform capabilities.\n In this role, you'll contribute to the day-to-day operations of the ML Platform team, ensuring the smooth functioning of existing systems while driving improvements. You’ll collaborate closely with full-stack data scientists, offering consultation and support to help them unlock the full potential of our platform.\n With significant autonomy, you’ll have the opportunity to shape the future of ML and AI at Stitch Fix. Your ideas and expertise will drive improvements, codify best practices, and influence how we approach machine learning and AI systems at scale.\n Responsibilities:\n \n Collaborate with cross-functional teams, including data scientists, engineers, and business partners, to solve complex distributed systems and business challenges at scale.\n Be part of a team with high visibility across the organization, driving impactful solutions that make a difference.\n Share your ideas and help guide the team’s investments toward high-value opportunities.\n Foster a culture of technical collaboration and contribute to the development of scalable, resilient systems.\n \n About You\n \n You bring 5+ years of experience in software development, with a focus on data, ML, or AI infrastructure.\n You have a proven track record of building scalable, distributed production systems.\n Your coding and design skills are exceptional. While Python and Golang are our primary tools, your overall engineering expertise and problem-solving abilities matter most.\n You’re proficient in leveraging big data, web, and AI technologies such as Kafka, Postgres, Redis, FastAPI, Ray, AnyScale, LangGraph, LangSmith or similar tools.\n You have hands-on experience with AWS or other cloud-based providers.\n You excel at thinking globally, developing solutions that address multiple needs while prioritizing business impact.\n Your strong cross-functional communication skills enable you to simplify complex challenges and collaborate effectively with business partners to drive solutions forward.\n \n Why you'll love working at Stitch Fix... \n \n We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.\n We cultivate a community of diverse perspectives— all voices are heard and valued.\n We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. \n We win as a team, commit to our work, and celebrate grit together because we value strong relationships.\n We boldly create the future while keeping equity and sustainability at the center of all that we do. \n We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.\n We offer comprehensive compensation packages and inclusive health and wellness benefits.\n Compensation and Benefits This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance.This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. \n Salary Range\n $136,000 — $167,000 USD \n This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data. \n Please review Stitch Fix's US Applicant Privacy P","salary_min":136000,"salary_max":167000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["generative-ai","cloud","distributed-systems","healthcare","agents","payments","platform"],"apply_url":"https://www.stitchfix.com/careers/jobs?gh_jid=8014448\u0026gh_jid=8014448","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-24T22:23:29Z","expires_at":"2026-08-14T14:21:28.191994Z","created_at":"2026-06-28T14:18:04.617348Z","updated_at":"2026-07-15T14:21:28.288848Z","company_name":"Stitch Fix","company_slug":"stitch-fix","company_logo_url":"https://www.google.com/s2/favicons?domain=stitchfix.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/35697ac3-d1ba-4ab6-b9f5-77d613e7a47a"},{"id":"6c1ddc0e-493f-4957-9b6e-9aaf647a5e5f","company_id":"776e5e7d-beba-4889-a481-6d9d7c3af325","title":"Senior Software Engineer, Platform Engineering","slug":"senior-software-engineer-platform-engineering-d41c9c8e","description":"About Decagon\n\nDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.\n\nOur technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.\n\nWe’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.\n\nWe’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.\n\n\n\n\nABOUT THE TEAM\n\nThe Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for a Senior Software Engineer to help build and evolve our internal developer platform—everything from CI/CD and release automation to observability standards, platform tooling, and developer workflows that remove friction.\n\nThis role is for someone who loves making other engineers faster: reducing build times, eliminating flaky tests, creating paved roads for service creation/deployment, and raising the bar on operability by default. Roles like this often combine “builder” energy with strong empathy for how engineers actually work.\n\n\n\n\nWHAT YOU'LL DO\n\n - Developer productivity \u0026 platform tooling\n   \n   - Identify workflow bottlenecks (build/test/release/local dev) and build tools that measurably reduce toil.\n   \n   - Create and maintain “golden paths” like service templates, CLIs, libraries, and automation that teams rely on.\n\n - CI/CD \u0026 release engineering\n   \n   - Design reusable CI pipelines and deployment workflows that are fast, safe, and easy to adopt across teams.\n   \n   - Improve reliability of builds and tests (flake reduction, hermeticity, caching) and drive down cycle time.\n   \n   - Support progressive delivery patterns (canary / blue-green) and safe rollback mechanisms.\n\n - Observability \u0026 operational excellence\n   \n   - Establish shared observability primitives (metrics/logs/traces), standards, and libraries so services are production-ready by default.\n   \n   - Partner with product engineers to improve operability: SLOs, alerting hygiene, dashboards, incident learnings.\n\n - Infrastructure foundations\n   \n   - Build and improve core platform capabilities that make it easy to run and scale services.\n\n - Ownership \u0026 reliability\n   \n   - Own the systems you build end-to-end and help keep them healthy in production, improving reliability over time.\n\n\n\n\nYOUR BACKGROUND LOOKS SOMETHING LIKE THIS\n\n - 4+ years building production software, with meaningful experience in platform / devtools / infrastructure (or adjacent SRE/release engineering).\n\n - Strong coding ability in at least one systems/productivity language (e.g., Python, TypeScript/JS), and comfort building developer-facing tooling (CLIs, libraries, automation).\n\n - Hands-on experience with CI/CD systems and designing pipelines that are scalable and reusable across many repos/services.\n\n - Practical experience with observability in production systems (instrumentation, alerting, dashboards, incident response).\n\n - Comfort with containers and modern cloud infrastructure (e.g., Docker/Kubernetes and related tooling).\n\n - A track record of improving developer experience through measurable outcomes (faster builds, fewer flakes, safer deploys, fewer incidents).\n\n - Strong cross-team collaboration and communication—especially writing clear docs and driving adoption.\n\n\n\n\nEVEN BETTER IF YOU HAVE\n\n - Experience with monorepos and build systems and/or large-scale CI performance work.\n\n - Experience building internal platforms: service templates, paved-road deployment, self-serve environments, developer portals.\n\n - Infrastructure-as-code experience (e.g., Terraform) and a security-minded approach to supply chain (provenance, secrets, least privilege).\n\n - Experience applying AI-assisted tooling to make engineers dramatically more effective.\n\n\n\n\nCOMPENSATION\n\n$200K – $400K + Offers Equity\n\nThis range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.\n\nIn addition to base salary, we offer competitive equity. Final compensation may vary based ","salary_min":200000,"salary_max":400000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","cloud","platform","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/decagon/357ab345-40bc-413e-9f40-117205cd96e8/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-23T17:28:41.208Z","expires_at":"2026-08-14T14:09:18.849899Z","created_at":"2026-06-28T14:07:06.544618Z","updated_at":"2026-07-15T14:09:18.994036Z","company_name":"Decagon","company_slug":"decagon","company_logo_url":"https://www.google.com/s2/favicons?domain=decagon.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6c1ddc0e-493f-4957-9b6e-9aaf647a5e5f"},{"id":"24c5fcc3-e7b3-4ced-9840-a717b80fa3fe","company_id":"776e5e7d-beba-4889-a481-6d9d7c3af325","title":"Senior Software Engineer, Platform Engineering","slug":"senior-software-engineer-platform-engineering-595c6e03","description":"About Decagon\n\nDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.\n\nOur technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.\n\nWe’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.\n\nWe’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.\n\n\n\n\nABOUT THE TEAM\n\nThe Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for a Senior Software Engineer to help build and evolve our internal developer platform—everything from CI/CD and release automation to observability standards, platform tooling, and developer workflows that remove friction.\n\nThis role is for someone who loves making other engineers faster: reducing build times, eliminating flaky tests, creating paved roads for service creation/deployment, and raising the bar on operability by default. Roles like this often combine “builder” energy with strong empathy for how engineers actually work.\n\n\n\n\nWHAT YOU'LL DO\n\n - Developer productivity \u0026 platform tooling\n   \n   - Identify workflow bottlenecks (build/test/release/local dev) and build tools that measurably reduce toil.\n   \n   - Create and maintain “golden paths” like service templates, CLIs, libraries, and automation that teams rely on.\n\n - CI/CD \u0026 release engineering\n   \n   - Design reusable CI pipelines and deployment workflows that are fast, safe, and easy to adopt across teams.\n   \n   - Improve reliability of builds and tests (flake reduction, hermeticity, caching) and drive down cycle time.\n   \n   - Support progressive delivery patterns (canary / blue-green) and safe rollback mechanisms.\n\n - Observability \u0026 operational excellence\n   \n   - Establish shared observability primitives (metrics/logs/traces), standards, and libraries so services are production-ready by default.\n   \n   - Partner with product engineers to improve operability: SLOs, alerting hygiene, dashboards, incident learnings.\n\n - Infrastructure foundations\n   \n   - Build and improve core platform capabilities that make it easy to run and scale services.\n\n - Ownership \u0026 reliability\n   \n   - Own the systems you build end-to-end and help keep them healthy in production, improving reliability over time.\n\n\n\n\nYOUR BACKGROUND LOOKS SOMETHING LIKE THIS\n\n - 4+ years building production software, with meaningful experience in platform / devtools / infrastructure (or adjacent SRE/release engineering).\n\n - Strong coding ability in at least one systems/productivity language (e.g., Python, TypeScript/JS), and comfort building developer-facing tooling (CLIs, libraries, automation).\n\n - Hands-on experience with CI/CD systems and designing pipelines that are scalable and reusable across many repos/services.\n\n - Practical experience with observability in production systems (instrumentation, alerting, dashboards, incident response).\n\n - Comfort with containers and modern cloud infrastructure (e.g., Docker/Kubernetes and related tooling).\n\n - A track record of improving developer experience through measurable outcomes (faster builds, fewer flakes, safer deploys, fewer incidents).\n\n - Strong cross-team collaboration and communication—especially writing clear docs and driving adoption.\n\n\n\n\nEVEN BETTER IF YOU HAVE\n\n - Experience with monorepos and build systems and/or large-scale CI performance work.\n\n - Experience building internal platforms: service templates, paved-road deployment, self-serve environments, developer portals.\n\n - Infrastructure-as-code experience (e.g., Terraform) and a security-minded approach to supply chain (provenance, secrets, least privilege).\n\n - Experience applying AI-assisted tooling to make engineers dramatically more effective.\n\n\n\n\nCOMPENSATION\n\n$200K – $400K + Offers Equity\n\nThis range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.\n\nIn addition to base salary, we offer competitive equity. Final compensation may vary based ","salary_min":200000,"salary_max":400000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","cloud","platform","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/decagon/a9e1123e-b6e7-4f93-ad4d-6c54a8c33a72/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-23T17:28:16.605Z","expires_at":"2026-08-14T14:09:18.759945Z","created_at":"2026-06-28T14:07:06.628894Z","updated_at":"2026-07-15T14:09:18.899043Z","company_name":"Decagon","company_slug":"decagon","company_logo_url":"https://www.google.com/s2/favicons?domain=decagon.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/24c5fcc3-e7b3-4ced-9840-a717b80fa3fe"},{"id":"6c6dd58c-1098-4e22-a27d-3f9d175b70af","company_id":"e5e49ca2-fa01-4747-a951-326be14de524","title":"Staff Software Engineer, AI Data Platform","slug":"staff-software-engineer-ai-data-platform-1c74ef20","description":"Shape the Future of AI \n At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.\n About Labelbox \n We're the only company offering three integrated solutions for frontier AI development:\n \n Enterprise Platform \u0026 Tools : Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale\n Frontier Data Labeling Service : Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models\n Expert Marketplace : Connecting AI teams with highly skilled annotators and domain experts for flexible scaling\n \n Why Join Us \n \n High-Impact Environment : We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.\n Technical Excellence : Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.\n Innovation at Speed : We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.\n Continuous Growth : Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.\n Clear Ownership : You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.\n \n Role Overview\n Labelbox is the RL data factory for advancing frontier agent capabilities. We build the data, evaluations, and infrastructure that frontier labs use to train and judge their agents. We're looking for talented, experienced engineers to join us. The bar is high: engineers who have strong judgment and set technical direction, quickly build prototypes that scale into the reliable systems, and are at the frontier of agent-first engineering practices and innovating to accelerate the speed of the business.\n What you may work on\n \n Eval systems that run millions of agent trajectories to measure model and product quality.\n Fine-tuning pipelines that turn evaluation signals into measurable agent improvements.\n Agent-first product surfaces: UX and infrastructure for workflows where the user is a model or an agent operator.\n The systems behind hundreds of thousands of AI interviews used to source and match freelance workers to projects.\n Infrastructure that scales to the throughput frontier labs actually need.\n Integration of the latest models and capabilities into production within days of release.\n \n What we're looking for\n \n 4+ year track record of shipping systems customers and other engineers rely on\n You build full stack prototypes fast and they hold up. The v1 you ship becomes the foundation the rest of the team builds on.\n Strong system and API design judgement\n Hard architecture and product calls land with you. You make them, defend them under pressure, and update fast when someone else is right.\n You ship production code with coding agents daily. You know where they break and what it takes to make them reliable to further accelerate the team's velocity.\n You set direction by being the example. Other engineers reach for your designs and your code as the reference.\n You move fast in ambiguous, startup-pace environments with influence over authority.\n You have worked in all parts of the stack\n Deep proficiency in TypeScript and/or Python.\n \n Nice to have\n \n Production experience building LLM- or agent-driven products.\n Designing evaluations for LLMs and agents, or producing high-quality data for ML systems.\n Background in production distributed systems, ML infrastructure, or data systems at scale.\n \n Our Technology Stack \n Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:\n \n Frontend: React.js with Redux, TypeScript\n Backend: Node.js, TypeScript, Python, some Java \u0026 Kotlin\n APIs: GraphQL\n Cloud \u0026 Infrastructure: Google Cloud Platform (GCP), Kubernetes\n Databases: MySQL, Spanner, PostgreSQL\n Queueing / Streaming: Kafka, PubSub\n Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates   is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location. \n Annual base salary range\n $250,000 — $280,000 USD \n Life at Labelbox \n \n Location : Join our dedicated tech hub in San Francisco\n Work Style : Hybrid model with 3 days per week in office, combining c","salary_min":250000,"salary_max":280000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["fine-tuning","llm","api-design","distributed-systems","platform"],"apply_url":"https://job-boards.greenhouse.io/labelbox/jobs/5159327007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-09T01:53:36Z","expires_at":"2026-08-14T14:06:42.910399Z","created_at":"2026-06-28T14:04:42.452319Z","updated_at":"2026-07-15T14:06:43.044458Z","company_name":"Labelbox","company_slug":"labelbox","company_logo_url":"https://www.google.com/s2/favicons?domain=labelbox.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6c6dd58c-1098-4e22-a27d-3f9d175b70af"},{"id":"09bd277a-bf4b-4882-a974-c857187f7b2d","company_id":"776e5e7d-beba-4889-a481-6d9d7c3af325","title":"Senior Platform Engineer, Security","slug":"senior-platform-engineer-security-e0c0c48f","description":"About Decagon\n\nDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.\n\nOur technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.\n\nWe’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.\n\nWe’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.\n\n\n\n\nABOUT THE TEAM\n\nThe Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email, and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with complete trust while defending against sophisticated, AI-enabled threats at massive scale.\n\nThis role sits at the intersection of Security and Infrastructure. Like the rest of our Infrastructure org, we believe the best security comes from paved paths, strong SLAs, and high-quality systems that other engineers can rely on by default. Our mission is to secure magical support experiences, ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy.\n\n\n\n\nABOUT THE ROLE\n\nWe're hiring our founding Platform Engineer, Security to design, build, and operate the security infrastructure that powers Decagon's AI platform. This is a builder's role: you'll spend your time creating durable, well-engineered systems including paved paths for secure service creation, security tooling that automatically applies secure configurations, and infrastructure-as-code that makes it easy for every engineer at Decagon to do the right thing.\n\nAs the first dedicated engineer at this intersection, you'll have outsized impact on how security infrastructure is built here, and you'll shape the technical direction of the infrastructure security program. You'll also help us invest in automation, observability, and self-service so the team operates with confidence.\n\nThe work is close to the business. Decagon serves some of the world's most security-conscious enterprises, including major financial-services institutions, and the security platform you build directly unlocks these high-value deals. This role offers a clear runway to grow your impact across security, infrastructure, and platform engineering.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\n - Design and implement secure, multi-tenant infrastructure that isolates customer data while enabling efficient AI model serving across our platform\n\n - Build \"golden paths\" for security including service templates, libraries, terraform policies, and automation, so new services are secure and production-ready by default\n\n - Own infrastructure-as-code (Terraform) and GitOps best practices, including reusable modules and policy-as-code\n\n - Expand and help operate the platforms behind alerting detection, secrets management, IAM, and automated remediation, integrating them cleanly into CI/CD and developer workflows\n\n - Partner with Security, Infrastructure, and product engineering teams to translate enterprise and compliance requirements (SOC 2, ISO 27001, GDPR) into reliable, automated technical controls\n\n - Participate in security on-call and continuously raise the bar on operability, runbooks, and incident learnings\n\n\n\n\nYOUR BACKGROUND LOOKS SOMETHING LIKE THIS\n\n - 5+ years building and operating production infrastructure, with meaningful exposure to security or a strong interest in moving deeper into security problems\n\n - Deep knowledge of Google Cloud Platform and/or AWS, including compute, networking, IAM, and security services\n\n - Proficiency with infrastructure-as-code (Terraform, Ansible, or similar) and a track record of building developer-facing tooling and automation\n\n - Strong coding ability in at least one systems language (eg. Python, Go, TypeScript) and comfort building paved-path tooling teams actually adopt\n\n - Experience applying AI-assisted tooling (Cursor, Claude Code, and similar) to make engineers dramatically more effective\n\n - Experience with secure container deployment, service mesh, and Kubernetes security best practices\n\n - Observability and incident-response tooling experience (instrumentation, alerting, dashboards), with a bias toward eliminating toil\n\n - Clear written communication and the ability to turn ","salary_min":200000,"salary_max":330000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["mlops","agents","security","data-pipeline","platform"],"apply_url":"https://jobs.ashbyhq.com/decagon/59330f7d-3489-40c1-bff1-60e95d56b112/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-05T16:22:44.706Z","expires_at":"2026-08-14T14:09:18.454463Z","created_at":"2026-06-28T14:07:08.136605Z","updated_at":"2026-07-15T14:09:18.582009Z","company_name":"Decagon","company_slug":"decagon","company_logo_url":"https://www.google.com/s2/favicons?domain=decagon.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/09bd277a-bf4b-4882-a974-c857187f7b2d"},{"id":"a4876350-3ed0-4a94-bdd6-aeee75b595c0","company_id":"238f4b8f-1e78-4053-9068-017564d76785","title":"Platform Engineer, AI Tooling","slug":"platform-engineer-ai-tooling-ce70c405","description":"Our Mission \u0026 Values:\nAt Drata, we help companies earn and keep the trust of their users, customers, partners, and prospects. We’re the proof layer that shows great companies deserve the trust they aim to build.\n\nWe live our values every day. Built on Trust means consistency is everything. Act with Integrity by always doing the right thing. Being Customer-Obsessed keeps the people we serve at the center of our work. Competitive Fire drives us to push ourselves harder than anyone else. Diversity brings unique perspectives that lead to better solutions. Automation First ensures we save time and money by making efficiency a priority.\n\nOur Culture \u0026 Work Style 🚀\n\nAt Drata, we’re not just building software - we’re building a mindset. Everything we do springs from:\n\n - Be a Driver (Owner‑Operator Mentality): Own your work. Improve relentlessly. Deliver results.\n\n - Move at Drata Speed (Precision \u0026 Velocity): Fast decisions. Quick learning. Immediate impact.\n\n - Stay Mission-Driven (Customer‑Obsessed): Challenge assumptions. Deliver value. Stay hungry.\n\nWe pair that high-velocity culture with a thoughtful hybrid model because we believe flexibility and collaboration both matter. That’s why in the Bay we come together in-office Tuesday through Thursday our high‑impact collaboration days where teams align, strategize, and innovate. Mondays and Fridays are flexible, giving you space for focused work, balance, and autonomy.\n\nIf you thrive when you’re empowered, energized, and working with smart, mission-driven people, you’ll feel at home here.\n\nWhy Join The Drata Team?\n\nThe best way to understand the Driver’s Mindset is to see it in action. We’re an award-winning, mission-driven team of 600+ people worldwide, united by a culture that values trust, speed, and continuous growth.\n\n - See the Speed: https://www.youtube.com/watch?v=QidTdkGwKMY Watch our CEO, Adam Markowitz, discuss the hyper-growth journey, from $0 to $100M ARR in just four years\n\n - Hear the Voice of the Team https://drata.com/about/life-at-drata: Explore our \"Life at Drata\" page for employee testimonials on our collaborative and the growth opportunities available.\n\n - Experience the Impact https://www.greatplacetowork.com/certified-company/7044563: See why we are consistently recognized on Fortune's Best Workplaces lists.\n\n - Connect with Us on Socials: LinkedIn https://www.linkedin.com/company/drata/posts/?feedView=all - follow us for company updates, employee stories, and career news.\n\nJob Summary:\n\nThe Platform Engineer, AI Tooling on the Developer Experience Team (part of Foundation Engineering group) will help build the internal AI platform that makes Drata's engineers more efficient - the tools, agents, and integrations that turn AI coding agents (and the rest of the AI dev stack) into the default way work gets done at Drata. This is not a product-AI role - you're not building AI features for Drata's customers. You're building for Drata's engineers: MCP servers that connect AI agents to our internal systems, custom agent skills and subagents tuned to specific workflows, agentic workflows that automate code generation, verification, testing, and delivery, and the observability and cost controls behind all of it. Your \"customer\" is not Drata's normal users, it's Drata's engineers.\n\nYou'll own meaningful pieces of the platform, work closely with senior engineers, and ramp fast in a space that's still being defined. You'll participate in design, coding, testing, and production release, and deliver code in an agile team environment.\n\nWhat you’ll do:\n\n - Implement custom agent skills, subagents, hooks, and plugins for specific engineering workflows (PR review, test generation, on-call summaries, migration scripts, release notes)\n\n - Build agentic workflows that automate parts of the coding lifecycle: code generation, verification, testing, and delivery - agents that take a ticket and turn it into a tested, reviewable PR\n\n - Help engineering teams adopt and customize AI coding tools: pair with them on prompts, debug agents that misbehave, ship the skill that solves their actual problem\n\n - Wire AI into CI/CD: automated PR review, doc generation, test scaffolding, bug triage\n\n - Build the observability layer: usage telemetry, cost dashboards, audit logs for AI-driven changes\n\n - Design and run evaluations for agent workflows\n\n - Maintain engineering harness that the org reuses across teams\n\n - Investigate and fix issues: misbehaving agents, eval regressions, cost spikes, permission edge cases in MCP servers\n\n - Participate in design reviews, post-mortems, and on-call for the AI Tooling platform\n\n - Write reusable, testable, and efficient code\n\n - Stay current with new AI coding tools and patterns, and bring back what's useful\n\n - Research and train on technologies you think may be appropriate for current or future projects\n\nWhat you’ll bring:\n\n - 3+ years of experience as a software engineer building production systems and plat","salary_min":131900,"salary_max":178500,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["code-generation","agents","api-design","healthcare","platform"],"apply_url":"https://jobs.ashbyhq.com/drata/3b1adc01-87ac-45ae-b50b-4de5597e41a7/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-26T15:24:49.409Z","expires_at":"2026-08-14T14:16:39.659721Z","created_at":"2026-05-27T14:14:33.02715Z","updated_at":"2026-07-15T14:16:39.847713Z","company_name":"Drata","company_slug":"drata","company_logo_url":"https://www.google.com/s2/favicons?domain=drata.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a4876350-3ed0-4a94-bdd6-aeee75b595c0"},{"id":"f3c01abc-b194-443a-bdbf-d93481003d55","company_id":"238f4b8f-1e78-4053-9068-017564d76785","title":"Senior Platform Engineer 2, AI Tooling","slug":"senior-platform-engineer-2-ai-tooling-c4e857a7","description":"Our Mission \u0026 Values:\nAt Drata, we help companies earn and keep the trust of their users, customers, partners, and prospects. We’re the proof layer that shows great companies deserve the trust they aim to build.\n\nWe live our values every day. Built on Trust means consistency is everything. Act with Integrity by always doing the right thing. Being Customer-Obsessed keeps the people we serve at the center of our work. Competitive Fire drives us to push ourselves harder than anyone else. Diversity brings unique perspectives that lead to better solutions. Automation First ensures we save time and money by making efficiency a priority.\n\nOur Culture \u0026 Work Style 🚀\n\nAt Drata, we’re not just building software - we’re building a mindset. Everything we do springs from:\n\n - Be a Driver (Owner‑Operator Mentality): Own your work. Improve relentlessly. Deliver results.\n\n - Move at Drata Speed (Precision \u0026 Velocity): Fast decisions. Quick learning. Immediate impact.\n\n - Stay Mission-Driven (Customer‑Obsessed): Challenge assumptions. Deliver value. Stay hungry.\n\nWe pair that high-velocity culture with a thoughtful hybrid model because we believe flexibility and collaboration both matter. That’s why in the Bay we come together in-office Tuesday through Thursday our high‑impact collaboration days where teams align, strategize, and innovate. Mondays and Fridays are flexible, giving you space for focused work, balance, and autonomy.\n\nIf you thrive when you’re empowered, energized, and working with smart, mission-driven people, you’ll feel at home here.\n\nWhy Join The Drata Team?\n\nThe best way to understand the Driver’s Mindset is to see it in action. We’re an award-winning, mission-driven team of 600+ people worldwide, united by a culture that values trust, speed, and continuous growth.\n\n - See the Speed: https://www.youtube.com/watch?v=QidTdkGwKMY Watch our CEO, Adam Markowitz, discuss the hyper-growth journey, from $0 to $100M ARR in just four years\n\n - Hear the Voice of the Team https://drata.com/about/life-at-drata: Explore our \"Life at Drata\" page for employee testimonials on our collaborative and the growth opportunities available.\n\n - Experience the Impact https://www.greatplacetowork.com/certified-company/7044563: See why we are consistently recognized on Fortune's Best Workplaces lists.\n\n - Connect with Us on Socials: LinkedIn https://www.linkedin.com/company/drata/posts/?feedView=all - follow us for company updates, employee stories, and career news.\n\nJob Summary:\n\nThe Senior Platform Engineer II, AI Tooling on the Developer Experience Team (part of Foundation Engineering group) will lead the design and delivery of the internal AI platform that makes Drata's engineers more efficient - the tools, agents, and integrations that turn AI coding agents (and the rest of the AI dev stack) into a paved road for everyday engineering work. This is not a product-AI role - you're not building AI features for Drata's customers. You're building for Drata's engineers: MCP servers that connect AI agents to our internal systems, custom agent skills and subagents tuned to how Drata works, agentic workflows that automate the engineering lifecycle end-to-end (code generation, verification, testing, delivery), and the governance, observability, and cost controls that keep all of it safe and accountable.\n\nYour \"customer\" is not Drata's normal users, it's Drata's engineers. The work is measured upstream of every PR: shorter cycle time, less toil, fewer mistakes, faster onboarding, more time on the work that matters. You'll set technical direction, mentor engineers, and make the architecture calls that shape how AI shows up in every engineering workflow at Drata.\n\nWhat you’ll do:\n\n - Architect the internal AI platform: MCP servers, agent customizations, agentic workflows, engineering harness, and integrations that make AI the default way engineers get work done at Drata\n\n - Design and ship custom agent skills, subagents, hooks, and plugins tuned to specific engineering workflows (code review, test generation, PR triage, on-call, release notes, migrations)\n\n - Build end-to-end agentic workflows that automate code generation, verification, testing, and delivery: agents that pick up a ticket, write the code, run the tests, and ship the PR\n\n - Design async, recoverable, long-running agent workflows - Temporal is already in our stack and is a natural substrate for agents that run for minutes or hours and have to survive restarts\n\n - Lead the rollout and customization of AI coding tools across the org\n\n - Wire AI into CI/CD: automated PR review, test generation, doc generation, migration agents, bug triage agents, autonomous coding agents in pipelines\n\n - Build the governance layer: usage telemetry, cost tracking, audit trails, security policy enforcement (what code can leave the org boundary, secrets scrubbing, prompt injection defenses inside the repositories)\n\n - Design and run evals that tell us which PR review prompt","salary_min":174500,"salary_max":236100,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","code-generation","agents","healthcare","platform"],"apply_url":"https://jobs.ashbyhq.com/drata/3f52dbee-ddf8-48f5-ac15-9dc04b588348/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-26T15:23:56.424Z","expires_at":"2026-08-14T14:16:39.823443Z","created_at":"2026-05-27T14:14:32.938355Z","updated_at":"2026-07-15T14:16:39.959981Z","company_name":"Drata","company_slug":"drata","company_logo_url":"https://www.google.com/s2/favicons?domain=drata.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f3c01abc-b194-443a-bdbf-d93481003d55"},{"id":"4ee3ad62-c834-40b6-9d23-94f8f18e413d","company_id":"6195a3ea-00dd-46bf-a128-51a98a52d538","title":"Senior Software Engineer, AI Platform","slug":"senior-software-engineer-ai-platform-cc64dd0b","description":"About Mixpanel \n Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more.\n About the Team \n The AI Platform team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the infrastructure that accelerates and transforms AI product development at Mixpanel, both internally and for our customers. \n We provide the tools to improve AI products, enabling internal teams and customer agents to build things that were previously unimaginable.  We build shared infrastructure that is essential for developing AI features with confidence and speed, and that gives every agent the tools, context, and quality guarantees to act autonomously on behalf of users.\n Some examples of what we are building:\n \n Agent Optimization Framework: A system that optimizes AI products for quality, speed, and cost, using metrics from production and evals, given the context of the invocation.\n AI Agent Integrations and Accessibility: Products and tools that bring the power of Mixpanel to wherever it is most effective for our customers, including a Mixpanel slackbot, MCP, and a public skills library.\n AI Engine: Services that centralize core AI and LLM functionality at Mixpanel in order to accelerate AI development, compound the value of AI efforts, and provide customers with a consistent experience.\n \n Role Overview \n We are looking for an experienced and driven Senior Software Engineer to join our AI Platform team. You will be responsible for building the scalable, secure, and reliable infrastructure that accelerates AI agent development.  You will be a leader and key contributor in a small, fast paced, newly formed team with a mandate to empower AI development across the company.\n Responsibilities \n \n Platform Architecture: Design and develop the core backend services, APIs, and microservices that enable product teams to easily and securely leverage AI models.\n Agent Orchestration: Build scalable frameworks and tools to support multi-step agent workflows, including task decomposition, tool invocation, and persistent memory.\n Evaluation \u0026 Reliability: Build robust evaluation systems to continuously measure reasoning quality, hallucination rates, and task success.\n Operational Excellence: Architect high-performance serving infrastructure with strict guarantees around latency, throughput, cost-efficiency, and error handling.\n Observability \u0026 MLOps: Ensure comprehensive monitoring, structured logging, and distributed tracing across all deployed AI models.\n Collaboration: Partner with designers, product managers, and other engineers to build self-serve infrastructure that transforms our AI development cycle.\n Leadership: Advocate for software engineering best practices, conduct thorough design and code reviews, and mentor junior engineers.\n \n We're Looking For Someone Who Has \n \n Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience\n 5+ years of professional software engineering experience\n Strong full-stack fundamentals: you're comfortable working across frontend, backend, and data layers\n Excellent debugging and technical investigation skills\n Strong technical communication, ideally with experience collaborating in an asynchronous remote environment\n Ability to move fast and iterate in ambiguous environments: you take ownership and focus on delivering value to users\n Hands on experience integrating and orchestrating LLMs and agents\n Experience building AI native systems, including iteratively improving and scaling them in production\n Familiarity with techniques used to optimize AI agents: eval frameworks, agent tooling, vector search engines, context engineering, and prompt engineering.\n A desire to be on the forefront of leveraging AI to drive product improvement, observability and product analytics at scale.\n Compensation \n The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here . Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC fo","salary_min":226000,"salary_max":306000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","search","cloud","mlops","agents","microservices","platform"],"apply_url":"https://job-boards.greenhouse.io/mixpanel/jobs/7941944","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-23T14:02:17Z","expires_at":"2026-08-14T14:22:42.89984Z","created_at":"2026-05-27T14:20:15.169378Z","updated_at":"2026-07-15T14:22:42.994141Z","company_name":"Mixpanel","company_slug":"mixpanel","company_logo_url":"https://www.google.com/s2/favicons?domain=mixpanel.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4ee3ad62-c834-40b6-9d23-94f8f18e413d"},{"id":"3a790011-3259-4ddc-b03a-1e3227951d9b","company_id":"c587b06c-b6f0-4d1d-b694-6fb6abc2a6bb","title":"Platform Engineer (Forward Deployment)","slug":"forward-deployed-engineer-988ebd0a","description":"Who We Are \n Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n  \n What We Are Looking For \n We are seeking experienced Platform Engineers to partner directly with customers to architect, build, and deploy production integrations. In this role, you will work across AI workflow implementation, full-stack feature development, security, and billing integration, to ensure your partner’s success. You will own communication of customer requirements, scoping of bespoke problems into generalizable solutions, and expanding the Lightning Platform to fulfill your customer’s needs. \n This role sits at the intersection of software engineering, research engineering, AI infrastructure, product thinking, and customer engagement. You’ll work within Lightning’s internal product and engineering organizations to deliver production-ready AI systems that help customers realize value quickly and scale with confidence.\n This is a hands-on engineering role that combines software development, AI infrastructure, technical customer engagement, and product thinking. Successful candidates will be highly technical, customer-oriented builders who thrive in fast-moving environments and enjoy solving ambiguous, real-world AI systems problems.\n This role is based in one of our hubs (New York City, San Francisco, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. \n What You'll Do \n \n Partner directly with customers to design, implement, and deploy end-to-end AI systems and workflows on Lightning’s platform\n Translate vague customer objectives into clear technical specifications, proof-of-concepts, and scalable production implementations\n Own customer technical engagements end-to-end, from early discovery and architecture through deployment, monitoring, and expansion\n Develop and maintain production-grade software systems and services using modern programming languages, with a strong preference for Python\n Build reliable, observable systems with strong attention to latency, throughput, quality, scalability, and cost efficiency in production environments\n Debug and optimize AI systems across inference infrastructure, model behavior, APIs, and distributed workloads to improve performance and reliability\n Work closely with customer engineering teams throughout the full lifecycle of AI deployments, including technical discovery, implementation, deployment, and scaling\n Collaborate cross-functionally with Lightning’s product and engineering teams to improve platform capabilities, influence roadmap priorities, and identify opportunities for reusable product improvements\n Navigate ambiguity with sound technical judgment, making thoughtful tradeoffs and selecting the right tools and approaches without introducing unnecessary complexity\n Demonstrate strong ownership and accountability in execution, with a commitment to delivering high-quality outcomes for both customers and internal teams\n \n What You’ll Need \n Required Qualifications \n \n Strong software engineering experience building production full-stack applications, including modern frontend frameworks such as React and TypeScript, and backend services in Python, Go, or similar programming languages.\n Experience working directly with customers in highly technical environments, such as Forward Deployed Engineering, Solutions Engineering, Applied AI Engineering, Technical Product Engineering, or related roles\n Familiarity with AI/ML pipelines and the lifecycle of model development, evaluation, deployment, and monitoring\n Experience deploying and operating production AI/ML systems in cloud or distributed environments\n Familiarity with modern AI infrastructure and tooling such as Docker, Kubernetes, APIs, model serving systems, or distributed inference workloads\n Strong communication and collaboration skills, especially when working through complex technical topics with customers, engineers, and cross-functional stakeholders\n Ability to translate business needs into technical solutions and drive projects from initial concept through production delivery\n Ability to execute effectively in ambiguous, fast-moving, high-growth environments\n Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field\n \n Nice-to-Hav","salary_min":120000,"salary_max":250000,"location":"London, UK","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["llm","pytorch","search","payments","embeddings","mlops","distributed-systems","platform"],"apply_url":"https://job-boards.greenhouse.io/lightningai/jobs/7742081003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T17:15:55Z","expires_at":"2026-08-14T14:04:51.350011Z","created_at":"2026-05-27T14:03:14.78242Z","updated_at":"2026-07-15T14:04:51.474099Z","company_name":"Lightning AI","company_slug":"lightning-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=lightning.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3a790011-3259-4ddc-b03a-1e3227951d9b"},{"id":"dbd36041-3bad-498f-a60f-33baa7773cb6","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Director, Pentest Platform","slug":"director-pentest-platform-4f121b06","description":"Get to Know Us\n\nHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.\n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers \u0026 operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, \"checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.\n\n\n\nWhat You’ll Do\n\nAs Director of Pentest Platform, you'll lead the strategy, design, and development of the core pentest execution, orchestration, and data infrastructure that powers NodeZero's autonomous testing capabilities. You'll manage four engineering teams responsible for building and scaling the platform systems that execute, coordinate, and analyze pentests across complex enterprise environments. This role sits above our platform engineering leaders and will play a key role in scaling the platform organization as we continue to expand NodeZero's reach and sophistication.\n\n\n\n\nKEY RESPONSIBILITIES\n\nLeadership \u0026 Strategy:\n\nLead and scale Horizon3.ai http://Horizon3.ai's Pentest Platform organization, overseeing three teams: Execution Engine (pentest runtime and distribution), Orchestration (scheduling, coordination, and workflow), and Pentest Data Platform (result collection, processing, and analytics). Set clear technical and product direction for how NodeZero executes and analyzes pentests at scale across distributed environments.\n\nProduct Ownership:\n\nPartner closely with Product, Proactive Offense (offensive capabilities), and GTM teams to define platform requirements and deliver capabilities that enable NodeZero's pentest execution at scale. Drive execution from proof-of-concept through production, transforming architectural innovations into reliable, performant platform features.\n\nTechnical Depth:\n\nStay hands-on enough to guide architectural decisions around data models, orchestration patterns, and data pipeline design. Mentor technical leads in building resilient, distributed systems that power NodeZero's core testing infrastructure.\n\nTeam Building:\n\nBuild, mentor, and scale three diverse engineering teams focused on infrastructure, platform automation, and data engineering. Foster a culture of collaboration, operational excellence, and systems thinking that bridges infrastructure and product perspectives.\n\nCross-Functional Collaboration:\n\nCollaborate across engineering, product, and GTM to align platform roadmap with business priorities and offensive capabilities. Ensure reliable, scalable delivery of pentest execution infrastructure that enables rapid innovation in attack content and customer value.\n\n\n\nWhat You’ll Bring\n\n - Proven experience leading and scaling engineering teams in platform or infrastructure development, ideally within a fast-paced startup or growth-stage environment.\n\n - Strong technical background in distributed systems, platform architecture, and large-scale automation, with hands-on experience in system design, orchestration, data pipelines, or infrastructure automation.\n\n - Demonstrated success taking platform or infrastructure products from concept to market, including driving architectural decisions, POCs, and production launches at scale.\n\n - Deep understanding of distributed systems, containerization, orchestration frameworks, data processing pipelines, and large-scale SaaS infrastructure, with the ability to guide complex architectural decisions.\n\n - A product-oriented mindset, skilled at balancing technical excellence, operational reliability, customer impact, and speed to market.\n\n - Exceptional leadership and collaboration skills—experienced in managing managers, aligning cross-functional teams, and partnering effectively with Product, Engineering, and GTM stakeholders.\n\n - Excellent analytical, communication, and problem-solving abilities—capable of translating complex platform engineering concepts into clear, actionable direction for teams and stakeholders.\n\n - High degree of initiative and ownership; creative, detail-oriented, and results-driven.\n\n - Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).\n\n\n\nRe","salary_min":280000,"salary_max":315000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","security","data-pipeline","distributed-systems","api-design","platform"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/f7103c0e-facd-4717-a053-7409bfde8e12/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-20T18:44:41.951Z","expires_at":"2026-08-14T14:08:14.809222Z","created_at":"2026-05-27T14:06:31.136941Z","updated_at":"2026-07-15T14:08:14.937424Z","company_name":"Horizon3 AI","company_slug":"horizon3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=horizon3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/dbd36041-3bad-498f-a60f-33baa7773cb6"},{"id":"57221d71-7c6d-475a-8bf7-a9a2f0b6c944","company_id":"6ea0f41a-b13e-481a-b410-5195f391f939","title":"Staff Platform Engineer, Voice AI","slug":"staff-platform-engineer-voice-ai-d5bc66dc","description":"About the Role \n Together AI is defining the infrastructure layer for the next generation of voice applications. Our Voice AI platform powers production-grade, real-time voice agents at scale — and we're looking for a Staff Platform Engineer to own the architecture that makes it possible. \n This isn't a role about maintaining what exists. You'll set the technical direction for how developers interact with Together's voice platform — from the real-time API primitives they build on, to the autoscaling systems that keep latency SLOs intact under unpredictable load, to the multi-provider abstraction layer that makes our platform uniquely powerful. Voice infrastructure is categorically harder than text inference: bidirectional audio streams, stateful long-lived connections, millisecond latency requirements, and complex multi-model routing don't forgive architectural shortcuts. You'll bring the judgment to get this right the first time, at scale. \n This is a foundational hire on a small, high-conviction team. The decisions you make in this role will define the platform architecture for years. \n Responsibilities \n \n Own the architecture and reliability of Together's real-time API layer — set the technical direction for WebSocket and HTTP streaming APIs powering STT and TTS at scale; establish the reliability bar (connection lifecycle, backpressure, graceful degradation, reconnection) that production voice agents — contact centers, AI agents, communication platforms — depend on. \n Lead autoscaling architecture for latency-sensitive voice workloads — design and ship orchestration systems that handle bursty, real-time traffic across tens of thousands of GPUs; solve the hard problems at the intersection of concurrent connection limits, streaming state, and hard latency ceilings that generic autoscalers weren't built for. \n Define the voice API feature surface — make the architectural calls on word-level alignment, real-time speaker diarization, audio format support (g711/mulaw, PCM, WebRTC), pronunciation controls, and multi-context WebSocket — with a clear view of what unlocks the next category of developer use cases. \n Build the observability platform for voice infrastructure — design the latency breakdown pipelines, audio quality signal collection, and customer-facing dashboards that give both the team and developers the instrumentation they need to operate at production quality; make debugging voice issues fast and systematic. \n Own the multi-provider abstraction layer — architect the normalization layer across model partners (Cartesia, Deepgram, Rime, and others) that delivers consistent, provider-agnostic API behavior; your design should absorb upstream variability without exposing it to developers. \n Drive the interface between API and ML serving — partner closely with ML engineering leadership to define the contract between the API layer and the model serving stack; your decisions here have direct impact on end-to-end latency and reliability SLAs. \n Raise the bar for developer experience across the platform — lead API design reviews, shape documentation strategy, define integration patterns and cookbooks; the voice developer experience should be something the industry references, not just adequate. \n Architect for the product surface that doesn't exist yet — build systems with the foresight that they become the foundation for multiple new voice products; your platform decisions should expand what's possible, not constrain it. \n \n Requirements \n \n 8+ years of experience building large-scale, real-time distributed systems — with clear ownership of systems that carried production traffic at meaningful scale; you can speak to the architectural decisions you made and defend the tradeoffs. \n Deep, battle-tested expertise in real-time streaming infrastructure — WebSocket server architecture, SSE, bidirectional streaming, connection multiplexing, stateful protocol design — you've debugged production failures in these systems and come out with durable architectural improvements. \n Expert-level TypeScript and Python, with strong proficiency in systems-level thinking; Rust experience is a meaningful advantage at this level given where voice infrastructure is heading. \n Senior distributed systems judgment — load balancing, autoscaling, rate limiting, and traffic shaping for latency-sensitive workloads aren't concepts you reference, they're problems you've solved under pressure. \n Deep Kubernetes expertise — custom autoscalers, resource management, and health checking for stateful, streaming services; you've built Kubernetes automation that handled edge cases the off-the-shelf tooling couldn't. \n Strong technical leadership — you set direction, influence across teams without authority, bring clarity to ambiguous problems, and leave systems and teams meaningfully better than you found them. \n Sharp product intuition for developer platforms — you have genuine opinions about API ergonom","salary_min":220000,"salary_max":280000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["mlops","speech","agents","distributed-systems","api-design","platform"],"apply_url":"https://job-boards.greenhouse.io/togetherai/jobs/5142176007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-19T19:32:06Z","expires_at":"2026-08-14T14:02:21.42469Z","created_at":"2026-05-27T14:02:00.784235Z","updated_at":"2026-07-15T14:02:21.550768Z","company_name":"Together AI","company_slug":"together-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=together.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/57221d71-7c6d-475a-8bf7-a9a2f0b6c944"},{"id":"8006684c-30cc-4625-b66e-db7474fce1dd","company_id":"66e863fb-9aaf-40df-996c-eb439e6f857e","title":"Software Engineer, APIs \u0026 Context Platform","slug":"software-engineer-apis-context-platform-ca8b3f32","description":"About Glean: \n  \n Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. \n  \n At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. \n  \n Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. \n  \n If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. \n About the Role: \n Glean is building the horizontal AI platform that powers how employees use AI at work – not just in Glean, but across tools like Copilot, Gemini, ChatGPT, IDEs, and more. We are seeking creative engineers to build this context platform and deliver rich, trustworthy experiences across all of those apps. This team owns the platform experience end‑to‑end: standards and tooling for REST APIs, SDKs and client libraries, agent SDKs and integrations, MCP servers, custom context such as code and memory, and the infrastructure and docs that make it easy to build on Glean. In a rapidly growing startup, this means working across multiple layers of the stack – backend services, developer tools, SDKs, and docs. \n You will: \n \n Own and evolve Glean's REST API standards: versioning strategy, backward-compatibility guarantees, deprecation policy, and OpenAPI specification tooling. \n Design and ship new API endpoints that expose Glean's platform primitives — search, knowledge graph, chat, agent and others  — as stable, well-documented developer surfaces. \n Build the API gateway layer: routing, authentication (OAuth2, API keys, OIDC), rate limiting, quota management, and per-tenant usage metering. \n Define reusable platform primitives on top of Glean's horizontal layers (connectors, security/governance, knowledge graph, memory, model orchestration) so they can be composed by internal teams and external partners. \n Work across backend services, developer tools, SDKs, and documentation in a fast-moving startup environment. \n Design, build, and evolve SDKs and client libraries that developers use to integrate with Glean from their own applications and agent frameworks. \n Instrument API usage to surface adoption metrics, error patterns, and latency SLOs \n Champion the external developer perspective internally — bring customer feedback, friction points, and feature requests into the roadmap process. \n \n About you: \n \n BA/BS in computer science or a related field, or equivalent practical experience. \n 8+ years of industry software engineering experience, with meaningful time spent building and shipping public-facing APIs or developer platforms in production. \n Deep fluency in REST API design principles: versioning, backward compatibility, pagination, error semantics, hypermedia, and OpenAPI/JSON Schema. \n Proficiency in at least one modern backend language (ideally Golang, or strong interest in learning it); experience with TypeScript, Python, and/or Java is a plus. \n Thrive in a customer‑focused, tight‑knit, cross‑functional environment – being a team player and willing to take on whatever is most impactful for the company is a must. \n A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features. \n \n Location: \n \n This role is hybrid (4 days a week i","salary_min":210000,"salary_max":300000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["api-design","cloud","code-generation","llm","agents","platform"],"apply_url":"https://job-boards.greenhouse.io/gleanwork/jobs/4696752005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-19T17:11:22Z","expires_at":"2026-08-14T14:05:03.966127Z","created_at":"2026-05-27T14:03:28.076552Z","updated_at":"2026-07-15T14:05:04.102571Z","company_name":"Glean","company_slug":"glean","company_logo_url":"https://www.google.com/s2/favicons?domain=glean.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8006684c-30cc-4625-b66e-db7474fce1dd"},{"id":"a00332f9-4713-46fa-987e-008c7a77a574","company_id":"4bc4e268-7a05-4a65-a162-1688af546f7e","title":"Principal Engineer, AI Platform","slug":"principal-engineer-ai-platform-4d186ca2","description":"WHAT MAKES US EPIC?\n At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.\n Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.\n \n ONLINE INFRASTRUCTURE\n What We Do \n We enable Epic’s online services teams to build, deploy, and manage services that are used by more than half a billion players around the world. Our mission is to provide world class tools and platforms to improve the experience of our developers and make it easier, faster, and safer to build, operate, and scale their applications. We operate at massive scale as one of the largest cloud computing users in the world.\n What You'll Do \n Epic Games is the creator of Fortnite, Unreal Engine, and the Epic Games Store — a company that has shaped the way billions of people play, create, and connect. We build the foundational technology that powers some of the largest interactive experiences on the planet, and we give those tools to creators and developers around the world through open ecosystems.\n Behind the products is an engineering organization that operates at rare scale: real-time infrastructure for hundreds of millions of players, a game engine used across film, architecture, and automotive industries, and a platform ecosystem that lets indie developers ship games to every major device on Earth.\n Our AI Platform team is building the next layer of that infrastructure — an enterprise-grade stack of agentic AI systems that automates engineering workflows, accelerates developer productivity, and enables new kinds of collaboration across Epic's teams. We're not a research group and we're not deploying off-the-shelf tools. We're architecting and building production systems from the ground up, across six interconnected platforms:\n \n AI Agent Orchestration — multi-tenant platform for team AI agents that live and collaborate in Slack channels, Source Control, etc.\n EMA (Epic Managed Agents) — compute and workspace infrastructure for headless agent harness runs at scale\n AI MCP Gateway — MCP OAuth gateway, plugin runtime, and governance layer for AI tool orchestration\n Non Human Identity Management — agent identity, credential vault, and authorization for non-human workloads\n Centralized AI Knowledge Base — org-wide memory plane with knowledge graph, deductive reasoning, and hierarchical summarization\n Roost — cryptographically signed software distribution and the Claude Code plugin marketplace\n \n This is foundational work that will define how AI is used inside Epic for the next decade. The scale is real, the problems are hard, and the team is small enough that every engineer makes a decisive architectural impact.\n As a Principal Engineer on the AI Platform team, you'll own the technical direction of our agent infrastructure stack end to end. You'll set the architecture across the six platforms above, drive alignment between them, and personally solve the hardest distributed systems and security problems that emerge as the stack scales. You'll work across teams to ensure agent identity, tool governance, memory, and execution infrastructure are coherent, secure, and operable — and you'll mentor the engineers who build alongside you. This isn't a coordinator role. You'll write production code, design protocols, make the calls that determine how agents authenticate and what they're allowed to do, and be accountable for the reliability of systems that are actively used by Epic's engineering organization.\n In this role, you will \n \n Platform Architecture \u0026 Technical Leadership:\n \n Own the end-to-end technical architecture across Epic's AI Infrastructure Platforms — ensuring each platform is coherent with the others and that the integration seams are well-defined\n Drive architectural decisions for agent identity and workload authorization (SPIFFE/SPIRE, OIDC, token exchange, policy planes), translating security requirements into implementable designs\n Establish the patterns for how AI agents authenticate, receive credentials, execute tools, and are audited — and hold the bar for correctness across the stack\n Lead design reviews for new capabilities, evaluate build vs. buy decisions, and surface technical risk before it becomes production risk\n \n Distributed Systems \u0026 Infrastructure:\n \n Design and implement the Cluster API and provider abstractions for EMA — the layer that orchestrators depend on to launch, drive, and recover headless agent runs across Kubernetes, EC2, and other compute backends\n Evolve Epic's AI MCP Gateway plugin runtime (WASM, gRPC sidecar, subprocess multiplexer) and its gateway security posture as external tool surface are","salary_min":223199,"salary_max":327358,"location":"BLANK,BLANK,Multiple Locations","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["security","embeddings","agents","llm","distributed-systems","microservices","api-design","platform"],"apply_url":"https://epicgames.com/careers/jobs/5996487004?gh_jid=5996487004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-19T14:21:35Z","expires_at":"2026-08-14T14:19:46.295938Z","created_at":"2026-05-27T14:17:40.950867Z","updated_at":"2026-07-15T14:19:46.481469Z","company_name":"Epic Games","company_slug":"epic-games","company_logo_url":"https://www.google.com/s2/favicons?domain=epicgames.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a00332f9-4713-46fa-987e-008c7a77a574"},{"id":"15a3860a-1bf8-414e-9cc0-134f1fd3836b","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Principal Software Engineer, AI Observability \u0026 Evals Platform","slug":"principle-software-engineer-ai-observability-evals-platform-04a35007","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, they own this end-to-end. If you want to help define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Principal/Lead level Software Engineer to join the LangSmith team and help drive the technical direction of the platform. You'll build across the full stack from backend services and APIs to frontend product surfaces, and you'll play a central role in shaping how we build: setting engineering standards, mentoring engineers across the team, and making architectural decisions that hold up as we scale. If you're energized by both hands-on engineering and the multiplier effect of leveling up those around you, this role is built for that.\n\nLocation: This role can be based in our Boston, San Francisco, or NYC office.\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n\n\n\nDRIVE TECHNICAL DIRECTION\n\n - Lead architectural decisions across our Go, Python, and TypeScript stack, ensuring systems are performant, maintainable, and built to scale\n\n - Work across the full stack, owning features end-to-end from backend services and APIs through to frontend product experiences\n\n - Drive tracing, monitoring, and evaluation workflows at scale, with a focus on reliability and query performance across high-volume data\n\n - Help shape the product roadmap by partnering closely with product and design — not just executing on it\n\n\nRAISE THE BAR FOR THE TEAM\n\n - Set engineering standards for the team: define patterns, lead code reviews, and establish the foundations others build on\n\n - Mentor and grow engineers at all levels through code review, design feedback, pairing, and ongoing technical guidance\n\n - Drive projects from ambiguity to delivery while maintaining high engineering standards and aggressive timelines\n\n\nOWN RELIABILITY AND QUALITY\n\n - Troubleshoot and resolve production issues with a root-cause mindset, and implement durable fixes\n\n - Ensure system reliability through strong testing, monitoring, and alerting practices\n\n - Create and maintain technical documentation, including system design docs and API references\n   \n   \n\n\nWHAT YOU'LL BRING\n\n\n\n\n - 10+ years of professional experience in backend or fullstack engineering on highly complex, production systems\n\n - Strong programming skills across multiple parts of the stack: backend (Python and/or Go) and frontend (TypeScript, React, or similar)\n\n - Demonstrated experience making and owning architectural decisions, including tradeoffs around data systems, APIs, and service reliability\n\n - Experience with high-throughput or mission-critical systems, and a proven ability to optimize for performance and reliability\n\n - Depth in operationalizing technical work — you've taken systems from prototype to production and kept them running well at scale\n\n - Demonstrated track record of mentoring engineers and raising the technical quality of a team, not just the codebase\n\n - Strong communication skills and comfort operating cross-functionally with product, design, and engineering leadership\n\n - Customer centricity and an ownership mentality — you care how the product lands, not just how the code reads\n\n - You exemplify our operating principles https://www.langchain.com/careers\n\n\n\n\nNICE TO HAVE\n\n - Experience with database systems (Postgres, Redis, ClickHouse) and cloud platforms (AWS, GCP, or Azure)\n\n - Familiarity with observability tooling, evaluation frameworks, or AI/LLM infrastructure\n   \n   \n\nSalary R","salary_min":230000,"salary_max":270000,"location":"Boston, MA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["llm","agents","platform","evaluation"],"apply_url":"https://jobs.ashbyhq.com/langchain/d3f8de08-2e2b-4c3f-be1f-e63ca51f1d93/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-13T22:53:01.826Z","expires_at":"2026-08-14T14:02:16.849566Z","created_at":"2026-05-14T14:02:16.638316Z","updated_at":"2026-07-15T14:02:16.990215Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/15a3860a-1bf8-414e-9cc0-134f1fd3836b"},{"id":"30a09766-8f94-4891-879d-e0276c7663fd","company_id":"a832a7c6-808b-473c-a141-b8f5f7a27286","title":"Research Platform Engineer","slug":"research-platform-engineer-7b03aa88","description":"About World Labs: \n We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds. We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.\n Role Overview \n We are looking for a Research Platform Engineer to build the mission-critical systems that research at World Labs depends on.This is a senior engineer whose work lives at the seam between research and platform. Your ownership is technical and concrete — the systems you design, the performance you unlock, the distributed infrastructure you operate, and the outcomes those systems produce. You will sit on either our research or platform org depending on where your strengths fit best, and the work happens across the seam between them. We want systems depth paired with a product engineer's instincts for research iteration speed and developer experience.\n This is a hands-on role . You will design, build, and ship code directly.\n What You Will Do: \n Design and build training infrastructure, data infrastructure, and data processing and sourcing pipelines. Productionize models for serving and own parts of the inference stack. Build internal tools and services that increase engineering and research velocity. Debug hard problems across training, inference, and performance — including distributed systems issues under real research workloads. Optimize throughput, latency, GPU utilization, and system-level scaling. Improve research iteration speed and developer experience — cut debugging time, raise reliability, and make it faster for researchers to ship experiments. Raise the engineering bar across research and platform code alike. \n Key Qualifications: \n \n 5+ years of experience building and shipping production systems, with demonstrated ownership of infrastructure used by other engineers or researchers. \n Strong depth in at least one of: ML infrastructure, distributed training or inference systems, data systems, or research tooling. \n Strong distributed systems foundations — concurrency, consistency tradeoffs, replication, failure modes, and scaling behavior under real workloads. \n Strong performance optimization skills across at least one of: training throughput, inference latency, GPU utilization, or system-level scaling. \n Strong proficiency in Python, with the ability to work in C++, CUDA, Rust, or Go as the work demands. \n Experience working directly with ML researchers or research engineers, including productionizing research code. \n A product engineer's instincts for iteration speed and developer experience — applied to the systems researchers use every day. \n Strong judgment about what to build and what to leave alone, particularly when research requirements are ambiguous or shifting. \n High-ownership mindset; you measure yourself by outcomes shipped, not by tickets closed. \n \n   \n Preferred Qualifications \n \n Experience at an AI lab or ML-native company, working on systems used directly by researchers. \n Experience with large-scale training or inference systems — GPU orchestration, distributed training, or high-throughput inference. \n Experience with low-level performance optimization — profiling, kernel-level tuning, memory and bandwidth optimization, distributed communication primitives. \n Experience building developer experience tooling for research — notebooks, experiment tracking, reproducibility infrastructure. \n Experience in early-stage or high-growth environments where scope and priorities shift frequently. \n \n Who You Are: \n \n Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.\n Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.\n Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.\n Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.\n \n  \n We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world, World Labs is your launchpad. \n Join us, and let's make history together. \n \n Equal Opportunity \u0026 Pay Transparency \n Eq","salary_min":200000,"salary_max":300000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","gpu","search","research","platform"],"apply_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4238069009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-01T17:02:32Z","expires_at":"2026-08-14T14:06:48.978403Z","created_at":"2026-05-06T14:05:41.849028Z","updated_at":"2026-07-15T14:06:49.107002Z","company_name":"World Labs","company_slug":"world-labs","company_logo_url":"https://www.google.com/s2/favicons?domain=worldlabs.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/30a09766-8f94-4891-879d-e0276c7663fd"}],"market_demand_pack":{"amount_cents":2900,"api_checkout_url":"https://aidevboard.com/api/v1/checkout?product_id=aidevboard_ai_skills_demand_pack","checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","currency":"USD","description":"Full ranked public AI/ML demand CSV, source job URLs, and decision brief with market and offer angles.","fulfillment":"automatic_email_after_paid_checkout","human_checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","name":"AI Market Demand Pack","next_step":"Open checkout_url for Stripe Checkout, or call api_checkout_url to get the non-charging checkout handoff payload.","price_usd":29,"product_id":"aidevboard_ai_skills_demand_pack","quote_url":"https://aidevboard.com/api/v1/quote?product_id=aidevboard_ai_skills_demand_pack"},"page":1,"per_page":20,"total":203,"total_pages":11}