{"has_next":true,"jobs":[{"id":"577d4902-fac2-40fd-9d40-2f5c20df045a","company_id":"776e5e7d-beba-4889-a481-6d9d7c3af325","title":"Senior Software Engineer, Developer Platform","slug":"senior-software-engineer-developer-platform-f5dcd14a","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","job_type":"full-time","experience_level":"senior","tags":["cloud","agents","infrastructure","platform"],"apply_url":"https://jobs.ashbyhq.com/decagon/c15c3dc8-6df7-43ca-aeeb-dc2beed2668e/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T23:19:24.295Z","expires_at":"2026-06-29T14:07:12.463759Z","created_at":"2026-05-30T14:07:12.575972Z","updated_at":"2026-05-30T14:07:12.575972Z","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/577d4902-fac2-40fd-9d40-2f5c20df045a"},{"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","job_type":"full-time","experience_level":"mid","tags":["agents","api-design","healthcare","code-generation","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":"2026-06-29T14:13:57.011821Z","created_at":"2026-05-27T14:14:33.02715Z","updated_at":"2026-05-30T14:13:57.121907Z","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","job_type":"full-time","experience_level":"senior","tags":["agents","healthcare","code-generation","llm","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":"2026-06-29T14:13:56.93483Z","created_at":"2026-05-27T14:14:32.938355Z","updated_at":"2026-05-30T14:13:57.045075Z","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 measurement and tuning system for Mixpanel AI that uses evals and metrics from production to optimize for speed, quality, and cost across a wide range of use cases.\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 and a public skills library.\n Automatic Generation of AI Inputs: Infrastructure to provide input to LLMs (e.g. context windows) with relevant customer and behavioral data that elevates agent performance.\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 A desire to be on the forefront of leveraging AI to drive product improvement, observability and product analytics at scale.\n \n  \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 for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these rang","salary_min":226000,"salary_max":306000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["agents","mlops","cloud","llm","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":"2026-06-29T14:19:19.319071Z","created_at":"2026-05-27T14:20:15.169378Z","updated_at":"2026-05-30T14:19:19.429984Z","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":"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","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","security","api-design","data-pipeline","cloud","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":"2026-06-29T14:06:11.995111Z","created_at":"2026-05-27T14:06:31.136941Z","updated_at":"2026-05-30T14:06:12.10171Z","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","job_type":"full-time","experience_level":"lead","tags":["api-design","speech","agents","mlops","distributed-systems","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":"2026-06-29T14:01:50.490998Z","created_at":"2026-05-27T14:02:00.784235Z","updated_at":"2026-05-30T14:01:50.599493Z","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 5+ 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":260000,"location":"Mountain View, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["code-generation","cloud","agents","api-design","llm","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":"2026-06-29T14:03:15.987657Z","created_at":"2026-05-27T14:03:28.076552Z","updated_at":"2026-05-30T14:03:16.095756Z","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":"a9c29f5c-7c91-4d7d-a1b5-b6b481d3c7dd","company_id":"5fac52d7-9b0b-4990-80a2-e2949dd0af1d","title":"Staff Engineer, ML/AI Platform","slug":"staff-engineer-mlai-platform-14255373","description":"Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.\n  \n Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.\n  \n With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in  Deloitte’s Fast 500  (four years running!),  LinkedIn’s Top Startups ,  Forbes’ Cloud 100 (five years running!),  Inc.’s Best Workplaces , and the  Human Rights Campaign Foundation's Corporate Equality Index !\n About the Role We’re seeking an accomplished Staff Software Engineer to join Attentive’s Machine Learning Platform team as a high-impact individual contributor focused on building the AI and ML infrastructure that powers our AI product suite. You’ll architect and build the foundational platform components that enable AI / ML engineers and data scientists to train, deploy, and serve models and agentic infrastructure with velocity, performance, and reliability at scale. As a Staff-level IC, you’ll operate as a technical force multiplier, setting the technical direction for AI and ML infrastructure across Attentive’s AI organization. You’ll lead through influence and technical excellence, advocating for long-term architectural progress while balancing immediate platform needs. Your work will span strategic initiatives measured in quarters and years, focusing on high-leverage decisions that enable entire teams to ship AI and ML capabilities faster and more reliably. Strategic Need Attentive is revolutionizing the digital shopping experience across every channel through our AI product suite for half a billion subscribers. We’re looking for a high impact individual to take our platform from v1 to vNext and beyond — supporting the full spectrum of AI and ML workloads at massive scale. We support traditional models and deep learning today, and we are growing into reinforcement learning and agentic infrastructure quickly. This is a ground-floor opportunity to drive and influence the architectural roadmap for Attentive’s entire AI and ML ecosystem toward self-service workflows, real-time inference at scale, agentic capabilities, and robust model lifecycle management.\n What You’ll Accomplish \n \n Setting Technical Direction - Architect ML platform strategy spanning data pipelines, training infrastructure, and serving layers using cutting-edge tooling like Ray, MLFlow, Metaflow, Argo, and Spark.\n Uplevel and Innovate Core AI \u0026 ML Stack - Build and operate production-grade, low-latency ML serving layers with  robust model lifecycle systems including champion/challenger testing, automated rollouts, versioning, and rollback capabilities.\n Uplevel and Innovate Core AI \u0026 ML Stack - Define and drive Attentive’s agentic stack.\n Technical Leadership - Provide ML infrastructure perspective in high-level discussions about Attentive’s AI strategy spanning multiple quarters and teams.\n Technical Mentorship - Mentor platform and ML engineers, actively championing team members.\n Being the “Glue” - Build universal interfaces, architectures, and patterns—like data access layers and prediction serving APIs—that bridge platform capabilities with product needs to streamline high-priority ML work across the organization.\n \n Your Expertise \n \n You have the experience to know what works, what doesn’t, and why in AI and ML systems.\n 5+ years focused specifically on ML Platform/MLOps, with deep understanding of gold-standard practices and best-in-class tooling.\n Proven track record of owning and building core components of ML platforms using tools like Spark, Ray, MLFlow, Kubeflow, or Metaflow.\n You’ve built and operated a high-throughput agentic stack (MCP / data infrastructure, context store, orchestration, and prompt layer).\n Strong expertise in Python for both batch processing and online service frameworks.\n Experience designing and operating online and offline inference systems, understanding the critical differences and tradeoffs between them.\n \n Sample Projects \n \n Design and implement inference pipelines with champion/challenger shadow testing and automated model promotion.\n Lead and scale Attentive’s agentic stack from the ground up.\n Scale real-time feature streaming to handle low-latency, high-vo","salary_min":170000,"salary_max":280000,"location":"United States","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["deep-learning","agents","reinforcement-learning","mlops","data-pipeline","platform"],"apply_url":"https://job-boards.greenhouse.io/attentive/jobs/4251570009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-19T16:02:10Z","expires_at":"2026-06-29T14:18:28.312181Z","created_at":"2026-05-27T14:19:20.280182Z","updated_at":"2026-05-30T14:18:28.427456Z","company_name":"Attentive","company_slug":"attentive","company_logo_url":"https://www.google.com/s2/favicons?domain=attentive.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a9c29f5c-7c91-4d7d-a1b5-b6b481d3c7dd"},{"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","job_type":"full-time","experience_level":"principal","tags":["api-design","security","llm","distributed-systems","embeddings","agents","microservices","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":"2026-06-29T14:16:52.476987Z","created_at":"2026-05-27T14:17:40.950867Z","updated_at":"2026-05-30T14:16:52.589257Z","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","job_type":"full-time","experience_level":"principal","tags":["agents","llm","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":"2026-06-29T14:01:47.150772Z","created_at":"2026-05-14T14:02:16.638316Z","updated_at":"2026-05-30T14:01:47.259669Z","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":"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":"BUILDING OPEN SUPERINTELLIGENCE INFRASTRUCTURE\n\nPrime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.\n\nWe recently raised $15mm in funding https://www.primeintellect.ai/blog/fundraise (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.\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","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","agents","reinforcement-learning","api-design","cloud","platform"],"apply_url":"https://jobs.ashbyhq.com/PrimeIntellect/26c41d54-f823-4aac-8fdf-4e78fc760184/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-10T04:21:28.754Z","expires_at":"2026-06-29T14:09:45.812714Z","created_at":"2026-05-10T14:11:00.913248Z","updated_at":"2026-05-30T14:09:45.92083Z","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":"f02a377d-f8d9-4010-aeb3-c3707df60d56","company_id":"c282b7ce-73bf-47d7-ae0b-38c1e272bffb","title":"Engineering Manager, Platform","slug":"engineering-manager-platform-43d2b3ba","description":"ABOUT OPENROUTER\n\nOpenRouter is the leading AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers—without lock-in, capacity constraints, or unnecessary cost. We power the most advanced AI teams in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve.\n\nAs enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads.\n\n\n\n\nABOUT THE ROLE\n\nWe're hiring an Engineering Manager for our Platform team. This team owns the infrastructure that powers all of OpenRouter and enables the layer that routes and serves millions of LLM requests every day. The team is small, the surface area is large, and the business is scaling faster than we can keep up with.\n\nThis is a hands-on leadership role. You'll manage and grow the platform team while staying deep in the technical work - writing code, making architecture decisions, and debugging production issues alongside your engineers. You'll report to the CEO and work closely with engineering leadership on priorities, trade-offs, and the trajectory of the platform as OpenRouter scales.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build and lead the platform team - hire engineers, set the pace, and create an environment where strong ICs want to stay and grow.\n\n - Stay hands-on. You're coding, reviewing architecture decisions, and in the weeds on the systems your team owns. The team is small enough that you can't manage from a distance.\n\n - Own technical direction for the platform - understand the trade-offs across our edge, cloud, and data infrastructure and make the calls that keep things moving.\n\n - Steer projects through ambiguity. When something stalls or breaks, you debug the situation - whether that's a technical problem, a resourcing gap, or a prioritization call.\n\n - Partner with engineering leadership on capacity, reliability, and cost across the routing layer, with ownership of the systems carrying production traffic.\n\n - Represent the platform team's needs and priorities to the broader organization. You're comfortable pushing back, advocating for investments, and making your case directly to leadership.\n\n\n\n\nABOUT YOU\n\n - 4+ years of engineering management experience, including at least one environment where you built or scaled a team during a period of rapid growth.\n\n - Strong technical foundation in infrastructure, platform engineering, or a related domain. You don't need to have used every tool in our stack, but you understand the trade-offs at the systems level - edge compute, distributed systems, databases, security, cloud infrastructure, and the decisions that come with operating at scale.\n\n - Hands-on and comfortable staying that way. You write code, use AI-assisted development tools, and lead by example in a team where everyone ships.\n\n - Proven ability to recruit and retain strong engineers. Ideally, you've built teams people want to join and you bring a network of talent with you.\n\n - High agency and clear communication. You don't wait for direction, you identify what matters, make a plan, and drive it forward. You speak up when you disagree and back it with substance.\n\n - Pragmatic about what a lean engineering org actually needs versus what a 500-person org would do. You optimize for speed and clarity, not process.\n\n\n\n\nBONUS POINTS\n\n - Experience with our stack: Cloudflare, GCP, Spanner, Postgres, ClickHouse, Vercel, or TypeScript-heavy environments.\n\n - Background at infrastructure-native companies.\n\n - Existing user of OpenRouter, or active side projects in AI infrastructure, edge compute, or developer tooling.\n\n - Experience managing adjacent domains like security or developer experience alongside core platform work.\n\n\n\nThe base salary for this full-time position in the United States, spanning multiple internal levels depending on qualifications, ranges between $245,000 to $295,000 plus benefits \u0026 equity. Compensation for internationally based candidates will vary to reflect local market conditions.\n\nIf you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team.","salary_min":245000,"salary_max":295000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["cloud","llm","distributed-systems","platform"],"apply_url":"https://jobs.ashbyhq.com/openrouter/cf58b019-0c99-4cce-b294-6113ccb53cc9/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-07T16:00:09.835Z","expires_at":"2026-06-29T14:09:43.261061Z","created_at":"2026-05-08T14:10:14.275201Z","updated_at":"2026-05-30T14:09:43.374283Z","company_name":"OpenRouter","company_slug":"openrouter","company_logo_url":"https://www.google.com/s2/favicons?domain=openrouter.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f02a377d-f8d9-4010-aeb3-c3707df60d56"},{"id":"4ea4cbca-6d76-4071-b2d8-806b311bb6cb","company_id":"da5cfe83-4fb2-4ab3-9392-94069a77ae59","title":"Director of AI - Intelligence Platform","slug":"director-engineering-ai-2553a744","description":"Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from Rivian to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business.\n\n\nWe’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com http://www.ironcladapp.com or follow us on LinkedIn.\n\n\n\nThis is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events.\n\n\n\nAbout the Role\n\nIronclad is doubling down on AI to change how legal teams create, understand, and act on contracts. As Director of Intelligence Platform, you’ll lead the core AI capabilities behind our next generation of products—contract extraction and understanding, search and retrieval, agent frameworks and orchestration, and Ironclad Assistant.\n\nYour team owns the shared intelligence layer that powers every AI experience at Ironclad, enabling product teams to move faster with higher quality and consistency. You’ll define strategy, architecture, and execution for these foundational systems, then work hands-on with teams to turn them into durable product advantage: deeper contract understanding, more powerful search, trustworthy agentic workflows, and an assistant that helps customers move faster and make better decisions.\n\nThis is a high-impact, highly visible role at the intersection of AI platform, applied ML, product engineering, and customer experience—ideal for a hands-on technical leader who wants to pair deep technical engagement with organizational leadership.\n\n\n\nWhat You’ll Be Doing\n\n - Lead the strategy, roadmap, and execution for Ironclad’s Intelligence Platform, spanning:\n   \n   - contract extraction and understanding\n   \n   - search and retrieval\n   \n   - agent framework and orchestration\n   \n   - Ironclad Assistant\n\n - Define and evolve the architecture for reusable AI capabilities used across multiple product areas.\n\n - Partner with engineers on system design and technical direction, especially in ambiguous or high-leverage areas.\n\n - Contribute hands-on through prototyping, technical exploration, and selective production implementation.\n\n - Build and scale a high-performing team of engineers and technical leaders across AI platform and product domains.\n\n - Guide product and platform decisions to improve quality, reliability, latency, observability, security, and cost for AI-powered experiences.\n\n - Partner with Product, Design, Legal, Infrastructure, and other Engineering teams to translate customer needs into differentiated AI capabilities and products.\n\n - Establish strong quality bars for AI systems, including evaluation, experimentation, telemetry, and feedback loops.\n\n - Guide the evolution of Ironclad Assistant as a flagship AI product while ensuring its underlying capabilities are reusable across the platform.\n\n - Help the company make thoughtful technical and product tradeoffs across LLMs, retrieval, agents, structured contract understanding, and workflow integration.\n\n - Turn one-off solutions into shared platform capabilities, tools, and patterns that create leverage for other teams.\n\n - Develop an effective team structure, ownership model, and execution cadence that enables rapid progress without sacrificing technical excellence.\n\n\n\nAbout You\n\n - You have deep experience building and scaling AI-powered products or platforms in production, ideally in complex, high-stakes domains (e.g., legaltech, enterprise SaaS, fintech, healthcare).\n\n - You are a hands-on technical leader who stays close to architecture, design reviews, prototyping, and coding when it helps the team move faster.\n\n - You have strong architectural instincts and design systems that are practical, extensible, reliable, and aligned with business and customer needs.\n\n - You’ve led teams working in several of the following areas:\n   \n   - LLM- or ML-powered product systems\n   \n   - search, retrieval, and ranking\n   \n   - information extraction or document understanding\n   \n   - agentic workflows or orchestration frameworks\n   \n   - evaluation, experimentation, and model quality systems\n   \n   - production-grade ","salary_min":285000,"salary_max":315000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["healthcare","distributed-systems","code-generation","agents","payments","llm","fine-tuning","platform"],"apply_url":"https://jobs.ashbyhq.com/ironcladhq/772d90cd-f9cf-44d9-ad51-511f6edb15b7/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-06T04:49:12.414Z","expires_at":"2026-06-29T14:10:47.154991Z","created_at":"2026-05-06T14:15:12.214959Z","updated_at":"2026-05-30T14:10:47.266673Z","company_name":"Ironclad","company_slug":"ironclad","company_logo_url":"https://www.google.com/s2/favicons?domain=ironcladapp.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4ea4cbca-6d76-4071-b2d8-806b311bb6cb"},{"id":"72063b78-d884-42d9-bafd-081d306e0b45","company_id":"4c0fefc3-173a-4227-a823-4d67d3e70ff0","title":"Senior Software Engineer, Platform","slug":"senior-software-engineer-platform-25ebc378","description":"Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.\n Our base salary range is $126,000 - $189,000, and in addition we have generous bonus plans to provide a competitive compensation package. \n Who You Are: \n The Allen Institute for AI (Ai2) is hiring a Senior Platform Engineer to build the foundational architecture behind AI research agents that explore and reason over scholarly literature. You'll design the systems that define how agents, tools, and services interact, creating SDKs, APIs, and execution frameworks that enable researchers to build, evaluate, and scale intelligent systems. You'll contribute to the agent architecture, build infrastructure for sandboxed execution and benchmarking, and create evaluation frameworks that measure component  performance. You're a seasoned engineer who thrives in greenfield environments, excels at building robust developer-facing infrastructure, and is energized by making complex distributed systems feel simple.\n Who We Are:  \n The Agentic Applications team builds open, production-grade AI systems that power scientific discovery. We focus on developing intelligent agents that help researchers explore literature, synthesize knowledge, and accelerate their work across real-world scientific use cases. The team combines strong engineering practices with close collaboration across Ai2's product and research orgs to deliver tools used by millions of researchers and developers worldwide.\n Your Next Challenge: \n The essential functions include, but are not limited to the following:\n \n Design and extend APIs that expose structured scholarly data to academic researchers and AI agent workflows\n Contribute to dashboards and tools for evaluating data quality and model precision\n Scale our systems in a cost-effective and sustainable manner and be a driving force behind continuous improvements in reliability and automation\n Improve team velocity through contributions to software design, feature development, platform and framework enhancements, capacity planning, and deployment tooling\n Help set and maintain best practices in how we measure, monitor, and respond to system availability, latency, and general application health\n Engage in the entire software development lifecycle, from ideation and design to implementation and testing to deployment and operational support, with a strong sense of ownership for results\n Collaborate across engineering and research teams to ensure maintainability, test coverage, and robust deployment\n Communicate effectively across engineering, product, and research teams to align priorities and drive projects to completion\n \n What You’ll Need: \n \n Bachelor's degree and 8+ years of technical experience; relevant experience may substitute for education\n Strong Python engineering skills, with experience building production services and developer-facing tools\n Experience with cloud infrastructure (AWS, GCP, or similar), containerization, and deployment automation\n Solid understanding of integrating AI-powered capabilities into applications, including agent workflows, memory management, and external tool integrations\n Experience with analytics and observability tools like Datadog or similar for monitoring performance, system health, and reliability\n Familiarity with designing APIs, SDKs, or frameworks that other engineers build on top of\n Strong communication skills and a sense of ownership for results \n \n Physical Demands and Work Environment: \n The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.\n \n Must be able to remain in a stationary position for long periods of time. \n The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. \n The ability to observe details at close range.\n Can work under deadlines.\n \n A Little More About Ai2: \n Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.\n In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:\n \n We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a","salary_min":126000,"salary_max":189000,"location":"Seattle, WA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","agents","robotics","healthcare","cloud","platform"],"apply_url":"https://job-boards.greenhouse.io/thealleninstitute/jobs/7872683","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-02T04:29:50Z","expires_at":"2026-06-29T14:16:43.786196Z","created_at":"2026-05-06T14:23:24.855335Z","updated_at":"2026-05-30T14:16:43.901261Z","company_name":"Allen Institute for AI","company_slug":"allen-institute-for-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=allenai.org\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/72063b78-d884-42d9-bafd-081d306e0b45"},{"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","job_type":"full-time","experience_level":"senior","tags":["search","gpu","distributed-systems","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":"2026-06-29T14:04:50.587723Z","created_at":"2026-05-06T14:05:41.849028Z","updated_at":"2026-05-30T14:04:50.697549Z","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"},{"id":"e6d1e2f1-e60c-4065-8e1f-d7814f374da6","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Software Engineer, AI Platform","slug":"staff-software-engineer-ai-platform-32c49251","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nHarvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy.\n\nThe AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do.\n\n\n\n\nREPRESENTATIVE PROJECTS\n\n - Context Engineering \u0026 Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on.\n\n - Model Integration \u0026 Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on.\n\n - Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically.\n\n - Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features.\n\n\n\n\nWHAT YOU’LL DO\n\n - Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products.\n\n - Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.\n\n - Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.\n\n - Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products.\n\n - Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.\n\n\n\n\nWHAT YOU HAVE\n\n - 8+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering and a track record of technical leadership across teams.\n\n - Experience building and shipping multi-model or multi-provider AI systems in production.\n\n - Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters.\n\n - A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability.\n\n - Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally.\n\n - Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real.\n\n - A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems.\n\n - Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly.\n\n\n\n\nCOMPENSATION RANGE\n\n$231,000 - $340,000\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n#LI-AK1\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, vete","salary_min":231000,"salary_max":340000,"location":"New York, NY","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["generative-ai","agents","distributed-systems","platform"],"apply_url":"https://jobs.ashbyhq.com/harvey/f7c8e800-c0e4-4606-9860-9822103fe7e4/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-24T21:59:09.672Z","expires_at":"2026-06-29T14:02:05.726035Z","created_at":"2026-04-30T05:47:15.635606Z","updated_at":"2026-05-30T14:02:05.835671Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e6d1e2f1-e60c-4065-8e1f-d7814f374da6"},{"id":"8c2ca987-6b98-493c-ad30-cf1b8a3503b3","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Software Engineer, AI Platform","slug":"staff-software-engineer-ai-platform-7ddaa1f8","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nHarvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy.\n\nThe AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do.\n\n\n\n\nREPRESENTATIVE PROJECTS\n\n - Context Engineering \u0026 Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on.\n\n - Model Integration \u0026 Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on.\n\n - Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically.\n\n - Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features.\n\n\n\n\nWHAT YOU’LL DO\n\n - Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products.\n\n - Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.\n\n - Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.\n\n - Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products.\n\n - Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.\n\n\n\n\nWHAT YOU HAVE\n\n - 8+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering and a track record of technical leadership across teams.\n\n - Experience building and shipping multi-model or multi-provider AI systems in production.\n\n - Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters.\n\n - A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability.\n\n - Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally.\n\n - Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real.\n\n - A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems.\n\n - Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly.\n\n\n\n\nCOMPENSATION RANGE\n\n$231,000 - $340,000\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n#LI-AK1\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, vete","salary_min":231000,"salary_max":340000,"location":"San Francisco, CA","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["agents","generative-ai","distributed-systems","platform"],"apply_url":"https://jobs.ashbyhq.com/harvey/01da8934-d3e3-4ebb-beb9-681b3c24fb9c/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-24T21:54:34.51Z","expires_at":"2026-06-29T14:02:05.649892Z","created_at":"2026-04-30T05:47:15.578289Z","updated_at":"2026-05-30T14:02:05.759396Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8c2ca987-6b98-493c-ad30-cf1b8a3503b3"},{"id":"04f0a3c3-ebf0-42f1-b236-381c2c8ae4cd","company_id":"9f42c3ea-cd86-472e-8b5e-d041b53f16bf","title":"Senior Engineering Manager, Machine Learning Platform","slug":"senior-manager-machine-learning-engineering-aab1f1c4","description":"Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.\n \n Machine Learning is central to how Affirm delivers on its mission — powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Senior Manager to lead our ML Platform engineering organization, the team that builds and operates the critical infrastructure enabling every ML capability at Affirm. This is a high-impact, technically demanding role at the intersection of distributed systems, modern AI, and platform engineering. You will manage a team of engineering managers and stay deeply connected to the engineers building the platform, ensuring we continuously evolve ahead of Affirm's ML ambitions.\n What You'll Do\n \n Own the technical strategy and roadmap for ML Platform, covering real-time and batch feature computation, model training infrastructure, and model serving at scale.\n Lead and grow a team of engineering managers, while staying hands-on with the technical direction and maintaining close partnership with ICs.\n Continuously evolve the platform to stay ahead of the frontier — anticipating where AI and ML are heading and building the infrastructure that makes those capabilities possible at Affirm before they become urgent needs. This includes large-scale training and serving of transformer-based models, GPU compute, reinforcement learning, and whatever comes next.\n Partner with ML modeling, product, and infrastructure leadership to ensure the platform accelerates Affirm's most critical ML initiatives.\n Establish engineering excellence across the organization: reliability, observability, developer experience, and operational rigor.\n Recruit, develop, and retain world-class platform engineers.\n \n What We Look For\n \n 12+ years of industry experience in software and/or machine learning engineering, with significant hands-on software engineering experience, including 4+ years managing engineering managers.\n Deep expertise in building and operating large-scale ML infrastructure — feature stores, model serving systems, training pipelines, or equivalent.\n Strong understanding of data — data pipelines, data quality, and how data shapes model behavior and platform design.\n Fluency with modern ML: deep neural networks, transformer architectures, reinforcement learning, large-scale GPU training and serving. \n Strong systems thinking — comfortable reasoning from low-level infrastructure decisions to broad architectural trade-offs.\n Track record of building platforms that meaningfully accelerate the productivity and impact of ML teams.\n Experience on the applied ML modeling side is a plus — understanding how models are built makes you a better platform builder.\n Experience navigating ambiguity and leading through organizational complexity.\n Bachelor's degree in a technical field or equivalent practical experience.\n \n Pay Grade - R  Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.  Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $206,000 - $256,000\n #LI-Remote \n  \n \n Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.\n We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:  \n \n Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents  \n Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses \n Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge \n ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount \n \n We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. \n [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to","salary_min":206000,"salary_max":256000,"location":"Remote (Canada)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["reinforcement-learning","deep-learning","distributed-systems","data-pipeline","mlops","machine-learning","platform"],"apply_url":"https://job-boards.greenhouse.io/affirm/jobs/7705035003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-22T12:49:11Z","expires_at":"2026-06-29T14:18:00.467424Z","created_at":"2026-04-22T15:58:55.312996Z","updated_at":"2026-05-30T14:18:00.581421Z","company_name":"Affirm","company_slug":"affirm","company_logo_url":"https://www.google.com/s2/favicons?domain=affirm.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/04f0a3c3-ebf0-42f1-b236-381c2c8ae4cd"},{"id":"ebaa40cb-b2d1-4f0b-863f-a41c1606ffe7","company_id":"9f42c3ea-cd86-472e-8b5e-d041b53f16bf","title":"Senior Engineering Manager, Machine Learning Platform","slug":"senior-manager-machine-learning-engineering-567c16fd","description":"Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.\n \n Machine Learning is central to how Affirm delivers on its mission — powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Senior Manager to lead our ML Platform engineering organization, the team that builds and operates the critical infrastructure enabling every ML capability at Affirm. This is a high-impact, technically demanding role at the intersection of distributed systems, modern AI, and platform engineering. You will manage a team of engineering managers and stay deeply connected to the engineers building the platform, ensuring we continuously evolve ahead of Affirm's ML ambitions.\n What You'll Do\n \n Own the technical strategy and roadmap for ML Platform, covering real-time and batch feature computation, model training infrastructure, and model serving at scale.\n Lead and grow a team of engineering managers, while staying hands-on with the technical direction and maintaining close partnership with ICs.\n Continuously evolve the platform to stay ahead of the frontier — anticipating where AI and ML are heading and building the infrastructure that makes those capabilities possible at Affirm before they become urgent needs. This includes large-scale training and serving of transformer-based models, GPU compute, reinforcement learning, and whatever comes next.\n Partner with ML modeling, product, and infrastructure leadership to ensure the platform accelerates Affirm's most critical ML initiatives.\n Establish engineering excellence across the organization: reliability, observability, developer experience, and operational rigor.\n Recruit, develop, and retain world-class platform engineers.\n \n What We Look For\n \n 12+ years of industry experience in software and/or machine learning engineering, with significant hands-on software engineering experience, including 4+ years managing engineering managers.\n Deep expertise in building and operating large-scale ML infrastructure — feature stores, model serving systems, training pipelines, or equivalent.\n Strong understanding of data — data pipelines, data quality, and how data shapes model behavior and platform design.\n Fluency with modern ML: deep neural networks, transformer architectures, reinforcement learning, large-scale GPU training and serving. \n Strong systems thinking — comfortable reasoning from low-level infrastructure decisions to broad architectural trade-offs.\n Track record of building platforms that meaningfully accelerate the productivity and impact of ML teams.\n Experience on the applied ML modeling side is a plus — understanding how models are built makes you a better platform builder.\n Experience navigating ambiguity and leading through organizational complexity.\n Bachelor's degree in a technical field or equivalent practical experience.\n \n Pay Grade - R Equity Grade - 15 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $260,000 - $310,000 USA base pay range (all other U.S. states) per year: $232,000 - $282,000\n #LI-Remote \n  \n \n Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.\n We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:  \n \n Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents  \n Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses \n Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge \n ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount \n \n We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. \n [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the S","salary_min":232000,"salary_max":282000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","deep-learning","distributed-systems","reinforcement-learning","mlops","machine-learning","platform"],"apply_url":"https://job-boards.greenhouse.io/affirm/jobs/7705033003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-22T12:49:10Z","expires_at":"2026-06-29T14:18:00.546479Z","created_at":"2026-04-22T15:58:55.231432Z","updated_at":"2026-05-30T14:18:00.663201Z","company_name":"Affirm","company_slug":"affirm","company_logo_url":"https://www.google.com/s2/favicons?domain=affirm.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ebaa40cb-b2d1-4f0b-863f-a41c1606ffe7"},{"id":"beeae6a8-6ed4-4c80-b3b0-268966b31d1e","company_id":"0bedcaf4-210e-4f52-95d5-a82be8aff446","title":"Staff AI Platform Engineer, Corporate AI Systems","slug":"staff-ai-platform-engineer-corporate-ai-systems-a74f4f8a","description":"Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.\n We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.\n Why You’ll Love This Role \n We are seeking a talented and experienced Staff AI Platform Engineer to help build Cribl’s new Corporate AI Systems team. In this pivotal role, you will design, deploy, and operate the governed AI platform that enables secure, scalable AI across Cribl’s internal systems and workflows. This is a foundational role on a newly established team created to provide the shared infrastructure, security guardrails, and reusable patterns needed to turn AI from fragmented experimentation into a durable company capability.\n You will be instrumental in standing up the shared AI infrastructure layer that powers high-impact use cases across GTM, Prod-Eng and G\u0026A functions. The team’s mandate is to provide the “paved road” for AI at Cribl: secure access, governed integrations, reusable workflows, and a platform that enables teams to move faster without creating security, compliance, or operational risk.\n This role will report to the Sr. Director, Enterprise Applications and will partner closely with stakeholders across Enterprise Applications Engineering, Security, IT, and the business teams adopting AI to build the core platform that every subsequent AI initiative runs on.\n As An Active Member Of Our Team, You Will… \n As the Staff AI Platform Engineer, you will be the foundational builder of Cribl’s shared corporate AI platform. Your key responsibilities will include:\n \n AI Platform Architecture \u0026 Operations: Define and own the architecture for Cribl’s internal AI platform, LLM deployments, MCP gateway design, orchestration patterns, and the shared services required to run AI use cases safely at scale.\n Secure Access, Identity \u0026 Token Governance: Establish the identity and access model for AI systems, including distinct non-human identities, scoped credentials, audit logging, cost controls, and token governance infrastructure that supports least-privilege access.\n Sandboxed Enablement \u0026 the Paved Road: Build safe, reusable sandbox environments and self-service patterns that allow business and technical teams to experiment with AI inside a governed framework rather than through ad hoc or unapproved tooling.\n Enterprise Integration Architecture: Design the connective tissue between AI tooling and Cribl’s enterprise systems, helping define secure patterns for integrating with platforms such as Salesforce, NetSuite, Workday, Jira, Confluence, Slack, Google Drive, Glean, and other business-critical tools.\n AI Security Partnership: Work hand in hand with the AI Security team to ensure secrets management, MCP governance, prompt-injection defenses, AI telemetry, and compliance-ready controls are built into the platform from day one rather than bolted on later.\n Engineering Enablement: Stand up the platform capabilities needed for AI-accelerated development, including AI coding infrastructure and guardrails, DevOps pipeline integration, and secure workflows that help builders move faster without compromising quality or security.\n Platform Reliability, Adoption \u0026 Operating Effectiveness: Define and track the metrics that matter most for a shared AI platform, including platform availability, reliability, usage, adoption, guardrail effectiveness, cost efficiency, and time to enable new use cases. Partner with adjacent stakeholders to support measurement of the  business impact as the platform scales across the company.\n We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours \n \n If You’ve Got It - We Want It \n \n Staff-level platform engineering experience: 7+ years of experience in software engineering, platform engineering, infrastructure engineering, internal developer platforms, or closely related technical roles, with a track record of building shared capabilities used by many teams.\n AI platform fluency: Strong hands-on experience with modern LLM and agentic systems, including enterprise AI platforms, API-driven model integration, retrieval patterns, and the practical realities of getting AI safely into production.\n Identity, security, and governance depth: Proven experience with","salary_min":169000,"salary_max":250000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["llm","cloud","agents","platform"],"apply_url":"https://cribl.io/job-detail/?gh_jid=5970177004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-15T16:11:30Z","expires_at":"2026-06-29T14:18:07.746281Z","created_at":"2026-04-17T02:27:14.646712Z","updated_at":"2026-05-30T14:18:07.854395Z","company_name":"Cribl","company_slug":"cribl","company_logo_url":"https://www.google.com/s2/favicons?domain=cribl.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/beeae6a8-6ed4-4c80-b3b0-268966b31d1e"}],"page":1,"per_page":20,"total":187,"total_pages":10}