{"has_next":true,"jobs":[{"id":"999579f7-1c88-4dd4-b7e2-d60e2aada335","company_id":"e12d7a84-7538-4599-9b03-0cce91dc76b4","title":"AI Engineer","slug":"ai-engineer-b1ab9615","description":"GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.\n The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.\n * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. \n An overview of this role \n As an AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes.\n Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding.\n Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment.\n What you'll do \n \n Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say \"this doesn't need AI\" when that's the honest answer.\n Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration.\n Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value.\n Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI.\n Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt.\n Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R\u0026D.\n Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions.\n Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable.\n Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact.\n \n What you'll bring \n \n A Technologist at Heart -  Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them.\n Competent, Confident Coding Skills -  You can build working solutions end-to-end, write clean and maintainable code, and debug effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side projects, what matters is that you can deliver production-quality work independently.\n AI  \u0026 LLM  Technical Depth -  Strong proficiency in at least one modern scripting language (Pyth","salary_min":108400,"salary_max":129600,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"mid","tags":["alignment","llm","api-design","generative-ai","rag","agents"],"apply_url":"https://job-boards.greenhouse.io/gitlab/jobs/8565469002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T11:49:29Z","expires_at":"2026-06-29T14:08:37.633939Z","created_at":"2026-05-29T14:32:31.013898Z","updated_at":"2026-05-30T14:08:37.751307Z","company_name":"GitLab","company_slug":"gitlab","company_logo_url":"https://www.google.com/s2/favicons?domain=about.gitlab.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/999579f7-1c88-4dd4-b7e2-d60e2aada335"},{"id":"a944334e-23f0-4033-b1c8-307c9e7c7124","company_id":"75dcf7c0-5121-45f1-8d1b-6bfbfe15072f","title":"Helix AI Engineer, Backend Infrastructure ","slug":"helix-ai-engineer-backend-infrastructure-13269072","description":"Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.\n We're looking for a senior-level backend engineer who has scaled high-throughput, low-latency data systems and has strong instincts around cloud infrastructure and real-time streaming pipelines. You'll architect and build the core backend systems that power Figure's real-time data infrastructure — enabling the scale and reliability that our AI and robotics platforms depend on.\n This is a high-ownership role at the intersection of media and sensor data streaming, cloud systems, and applied ML serving. You'll work closely with our AI and robotics teams to ensure latency, reliability, and throughput meet the demands of real-world robot operation.\n WHAT YOU'LL DO \n \n Architect and scale cloud backend infrastructure for high-concurrency, real-time streaming of media and sensor data across robot fleets and user sessions.\n Design and build low-latency data pipelines that ingest, route, and process high-bandwidth streams — including camera feeds, IMU data, and other robot sensor outputs — into our AI stack in real time.\n Own reliability, latency, and throughput SLAs for streaming and data infrastructure.\n Collaborate with AI and robotics teams to integrate ML model serving into real-time data pipelines.\n Build observability, alerting, and tooling to give the team full situational awareness over live robot traffic.\n Drive architectural decisions and mentor engineers across the team.\n \n WHAT WE'RE LOOKING FOR \n \n Deep experience scaling cloud backend systems handling high-concurrency, real-time data streams — media, sensor, telemetry, or equivalent high-bandwidth pipelines.\n Strong fundamentals in distributed systems: stream processing, connection management, data transport, and low-latency architecture.\n Proficiency in one or more backend languages (Go, C++, Python, Rust) and cloud platforms (AWS, GCP, or Azure).\n Experience with containerized infrastructure, service mesh, and large-scale deployment pipelines.\n Strong communication and cross-functional collaboration skills.\n \n NICE TO HAVE \n \n Hands-on experience integrating AI inference serving (Triton Inference Server, TensorRT, SageMaker, or similar) into real-time data pipelines.\n Background in robotics, autonomous vehicles, live media platforms, or other latency-critical streaming domains.\n Familiarity with protocols such as WebRTC, RTSP, gRPC, or Kafka for real-time data transport.\n Experience with on-device or edge inference and the tradeoffs of cloud vs. edge processing.\n \n The US base salary range for this full-time position is between $150,000 - $400,000 annually.\n The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.","salary_min":150000,"salary_max":400000,"location":"San Jose, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["robotics","mlops","api-design","autonomous-vehicles","cloud","gpu","data-pipeline","distributed-systems"],"apply_url":"https://job-boards.greenhouse.io/figureai/jobs/4685172006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T21:42:25Z","expires_at":"2026-06-29T14:05:53.514412Z","created_at":"2026-05-29T14:18:08.491663Z","updated_at":"2026-05-30T14:05:53.629497Z","company_name":"Figure AI","company_slug":"figure-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=figure.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a944334e-23f0-4033-b1c8-307c9e7c7124"},{"id":"ca0b8a2b-9726-4390-9048-f72ca8f7b9c5","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Enterprise Applications Engineer","slug":"enterprise-applications-engineer-749b1dac","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n The Enterprise Applications Engineering team designs and manages the integrated SaaS ecosystem essential to Anduril’s growth. We act as a force multiplier by automating complex workflows and ensuring interoperability across our software stack. By delivering robust, scalable platforms, we empower our workforce to stay focused on mission success without technical limitations.\n ABOUT THE JOB\n We are seeking a skilled Enterprise Applications Systems Engineer to join our team. You will play a pivotal role in the design, implementation, and management of our enterprise software solutions. You will be responsible for the full lifecycle management of our SaaS stack, automate user provisioning, manage workflows, and maintain robust cross-platform integrations. Your goal is to ensure our software systems are scalable, secure, and seamlessly connected through automated deployments and rigorous configuration management.\n WHAT YOU’LL DO \n \n Build and operate SaaS platforms (Box, Slack, Lucid, O365, Airtable, Pagerduty, and more) as part of the enterprise stack, establishing integration frameworks, monitoring, and automation to ensure system resilience and scalability.\n Develop creative custom applications, internal tools, and automations contributing to the extensibility of tools across the company.\n Support governance initiatives to maintain system integrity in accordance with least privileged access.\n Design, implement, and manage user lifecycle management processes and improvements.\n Assess and enhance SaaS tool integrations to improve workflow efficiencies across various business units within the organization.\n Develop and maintain technical documentation for the enterprise applications tech stack, including technical requirements, architectural diagrams, run-books, and recovery procedures.\n Partner with Security, Compliance, and business stakeholders to translate complex requirements into secure, scalable technical architectures.\n Be the point of contact for application ownership, delegating roles, permissions, and integration capabilities safely to empower and educate users.\n \n REQUIRED QUALIFICATIONS\n \n 3+ years of experience in IT Engineering with a focus on SaaS tools and IAM.\n Experience in the enterprise administration and automated configuration of SaaS platforms (e.g., O365, Slack, Box).\n Experience building end-to-end continuous integration solutions using SCIM, REST APIs, and Web hooks.\n Strong understanding of authentication protocols such as SAML and OAuth 2.0.\n Adept in leveraging a scripting language, including Python, PowerShell, or Go.\n Ability to navigate ambiguity, resolve user issues, and work autonomously to identify and solve problems.\n Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.\n Eligible to obtain and maintain a U.S. TS clearance.\n Willingness to work on-site at our Costa Mesa, CA, office.\n \n PREFERRED QUALIFICATIONS\n \n Experience managing IAM architecture in a zero trust and password-less environment.\n Experience implementing IAM solutions through an Identity Provider such as Okta, Microsoft Azure Active Directory, or Google Identity.\n Experience implementing onboarding \u0026 off-boarding automations for an enterprise at scale.\n Background of supporting complex compliance initiatives across applications.\n Strong understanding of identity governance framework.\n Familiar with DevOps principles.\n \n  \n US Salary Range\n $129,000 — $171,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explor","salary_min":129000,"salary_max":171000,"location":"Costa Mesa, CA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["computer-vision","cloud","payments","api-design"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5148199007?gh_jid=5148199007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T17:41:23Z","expires_at":"2026-06-29T14:06:41.959465Z","created_at":"2026-05-29T14:23:01.80351Z","updated_at":"2026-05-30T14:06:42.426221Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ca0b8a2b-9726-4390-9048-f72ca8f7b9c5"},{"id":"06abea54-0601-42e3-bb89-32ddb1ee619d","company_id":"3029e985-56bf-4ac2-9ae1-df4cdd53b12f","title":"Sr. Staff Software Development Engineer-AI Security","slug":"sr-staff-software-development-engineer-ai-security-6fd417d1","description":"About Zscaler \n Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.\n Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability.\n We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.\n Role \n We are looking for a Sr. Staff Software Development Engineer-AI Security to join us as a founding member of our AI Security Team. This is a Hybrid role based in San Jose, CA or Bellevue, WA (3 days in office), reporting to the Director of Software Engineering within the Emerging Tech org.\n You will be responsible for designing and implementing core infrastructure components and distributed systems, serving as a foundational architect for our AI security solution. This high-impact role focuses on scaling security infrastructure to support hundreds of millions of users, collaborating with stakeholders across the development lifecycle to drive innovation and technical excellence.\n What you’ll do (Role Expectations) \n \n Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture\n Build resilient, distributed, and scalable systems, emphasizing concurrency, fault tolerance, and robust messaging protocols\n Implement and maintain gRPC services and APIs to ensure seamless integration of the AI Security plane with control and orchestration infrastructure\n Systematically enhance performance across the entire stack, including LLM models, by employing profiling tools for both kernel-space and user-space components\n Lead complex, multi-functional projects and initiatives, defining the technical roadmap and driving execution across teams\n \n Who You Are (Success Profile) \n \n You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.\n You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.\n You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.\n You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.\n You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.\n \n What We’re Looking for (Minimum Qualifications) \n \n 8+ years of software engineering experience\n Deep experience in systems programming using Rust, with a focus on asynchronous frameworks such as Tokio or async-std\n Proven ability to design and implement horizontally scalable, highly available, and observable distributed systems\n Strong command of Linux internals, including kernel-user space interaction, networking, sockets, and namespaces\n Skilled in performance instrumentation, containerized environments, Git workflows, and CI/CD pipelines\n \n What Will Make You Stand Out (Preferred Qualifications) \n \n Expert in systems languages such as C/C++ or Rust, with a focus on performance optimization\n Deep understanding of Linux networking stacks, Kubernetes networking, service meshes, and LLM model optimization\n ","salary_min":154000,"salary_max":220000,"location":"Bellevue, WA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["security","distributed-systems","api-design","llm","data-pipeline","agents"],"apply_url":"https://job-boards.greenhouse.io/zscaler/jobs/5146138007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T15:07:34Z","expires_at":"2026-06-29T14:09:19.468531Z","created_at":"2026-05-29T14:33:11.60717Z","updated_at":"2026-05-30T14:09:19.582996Z","company_name":"Zscaler","company_slug":"zscaler","company_logo_url":"https://www.google.com/s2/favicons?domain=zscaler.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/06abea54-0601-42e3-bb89-32ddb1ee619d"},{"id":"0ffaba88-636c-40f6-b308-69d1b07a2471","company_id":"238f4b8f-1e78-4053-9068-017564d76785","title":"Senior Platform AI Engineer","slug":"senior-platform-ai-engineer-4ad89166","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\nDrata's AI Platform team builds the production infrastructure that powers AI features across our compliance platform — from MCP servers that make Drata's data available to AI agents, to LLM workflow orchestration that automates SOC 2, TPRM, and policy analysis. You'll own the systems that sit between our AI models and our customers: tool definitions that agents actually understand, deployment pipelines that handle model upgrades without breaking output quality, and orchestration layers that manage multi-step agent workflows with persistent state.\n\nThis is not a traditional infrastructure role. You'll debug prompt templates alongside Terraform modules. You'll design API schemas optimized for LLM token budgets, not just HTTP throughput. When a model upgrade changes behavior across 15 workflows, you'll assess quality impact — not just confirm the containers are healthy.\n\nYou'll work closely with our agent developers, product engineers, and an embedded SRE partner, sitting at the intersection of AI development and production reliability.\n\nOur north star is simple: minimize the time it takes to launch a new agent in production. You're someone who asks \"are we solving the right problem?\" before writing the first line of code, who builds systems that make five other engineers faster, not just yourself, and who's equally proud of what they chose not to build.\n\nWhat you'll do:\n\n\nMCP SERVER DEVELOPMENT \u0026 AI-OPTIMIZED API DESIGN\n\n - Design and build MCP (Model Context Protocol) servers that expose Drata's platform to AI agents. This means making architectural decisions about tool granularity, naming conventions for agent disambiguation, response compression for LLM context windows, and workspace isolation for multi-tenant access. You'll own the protocol layer that determines whether agents can reliably find and use the right tools — writing semantic parameter descriptions, contextual hints, and tool schemas that optimize for model comprehension, not just developer ergonomics.\n\n\nAGENT ORCHESTRATION \u0026 WORKFLOW INFRASTRUCTURE\n\n - Build and operate the infrastructure for deploying multi-step agent workflows — state management across complex reasoning chains, tool routing and execution runtimes, and long-running agentic processes that persist over time. Own the orchestration layer that coordinates agent planning, tool calls, and human-in-the-loop patterns. Design systems that handle agent failure modes gracefully: retries on ambiguous tool ","salary_min":192000,"salary_max":259800,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","search","healthcare","llm","cloud","rag","agents","api-design"],"apply_url":"https://jobs.ashbyhq.com/drata/f0ab62fb-c0a8-4bf2-bfd6-9d9d2e68fb91/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-26T23:02:26.469Z","expires_at":"2026-06-29T14:13:56.372048Z","created_at":"2026-05-27T14:14:32.001255Z","updated_at":"2026-05-30T14:13:56.493566Z","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/0ffaba88-636c-40f6-b308-69d1b07a2471"},{"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":"bcb70829-4113-4c0a-905d-63b4f11d19bc","company_id":"e12d7a84-7538-4599-9b03-0cce91dc76b4","title":"Senior AI Engineer","slug":"senior-ai-engineer-a1be6a92","description":"GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.\n The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.\n * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. \n \n An overview of this role \n As a Senior AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes.\n Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding.\n Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment.\n What you'll do \n \n Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say \"this doesn't need AI\" when that's the honest answer.\n Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration.\n Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value.\n Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI.\n Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt.\n Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R\u0026D.\n Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions.\n Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable.\n Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact.\n \n What you'll bring \n \n A Technologist at Heart -  Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them.\n Competent, Confident Coding Skills -  You can build working solutions end-to-end, write clean and maintainable code, and debug effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side projects, what matters is that you can deliver production-quality work independently.\n AI  \u0026 LLM  Technical Depth -  Strong proficiency in at least one modern scripting lan","salary_min":139200,"salary_max":218400,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["generative-ai","llm","agents","api-design","rag","alignment"],"apply_url":"https://job-boards.greenhouse.io/gitlab/jobs/8548545002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-25T22:37:15Z","expires_at":"2026-06-29T14:08:38.410651Z","created_at":"2026-05-27T14:08:52.435541Z","updated_at":"2026-05-30T14:08:38.523476Z","company_name":"GitLab","company_slug":"gitlab","company_logo_url":"https://www.google.com/s2/favicons?domain=about.gitlab.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/bcb70829-4113-4c0a-905d-63b4f11d19bc"},{"id":"7944746a-5d41-4ef2-aaa7-2d8843ccd2f5","company_id":"0a7c68cd-f294-457e-939a-62969b72e929","title":"Software Engineer, Backend","slug":"software-engineer-backend-6db9c75f","description":"ABOUT THE ROLE\n\nYou'll build and scale the backend systems that power millions users creating content every day on Gamma. This role is about solving real distributed systems challenges at scale while maintaining the performance and reliability users expect from a modern AI-powered product. You'll work across the full stack, shipping features that directly impact how people create and share their ideas.\n\nWhile this role is backend focused, you'll work across the entire product with our frontend, product, and design teams. Our full TypeScript stack is built on modern technologies including React, Node.js, PostgreSQL, Redis, and cutting-edge AI models.\n\nOur team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.\n\n\n\n\nWHAT YOU'LL DO\n\n - Scale backend systems to hundreds of millions of users while maintaining high performance and availability\n\n - Build and optimize APIs that power real-time collaborative editing and AI content generation\n\n - Design and implement distributed systems that handle massive scale with reliability\n\n - Ship features across the full stack, working closely with frontend engineers to deliver polished experiences\n\n - Architect solutions for complex technical challenges in areas like data consistency, caching, and query optimization\n\n - Collaborate with product and design to turn ideas into production-ready features\n\n\n\n\nWHAT YOU'LL BRING\n\n - 3+ years building production backend systems with strong fundamentals in distributed systems, databases, and API design\n\n - Deep proficiency in TypeScript/Node.js or similar backend languages, with eagerness to work in our TypeScript stack\n\n - Experience scaling systems to handle millions of users and high throughput workloads\n\n - Strong understanding of PostgreSQL, Redis, or similar database technologies\n\n - Passion for building APIs, scaling complex systems, and creating excellent web applications\n\n - Curiosity and attitude that matches your technical knowledge\n\n - Prior experience working with websockets, streaming, or scaling inference workloads (Nice to have)\n\n\n\n\nCOMPENSATION RANGE:\n\nThe base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $310K plus benefits \u0026 equity.\n\n\n\nFinal offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.\n\n\n\nIf you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.","salary_min":180000,"salary_max":310000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["generative-ai","api-design","distributed-systems","backend"],"apply_url":"https://jobs.ashbyhq.com/gamma/a546c0a8-4c8b-471c-909c-9c7b34d1f64d/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T23:19:52.231Z","expires_at":"2026-06-29T14:07:43.2592Z","created_at":"2026-05-27T14:07:56.804097Z","updated_at":"2026-05-30T14:07:43.375021Z","company_name":"Gamma","company_slug":"gamma","company_logo_url":"https://www.google.com/s2/favicons?domain=gamma.app\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7944746a-5d41-4ef2-aaa7-2d8843ccd2f5"},{"id":"a9b04ca5-e47c-493e-beea-c98f715ff641","company_id":"6734f15a-40ed-4186-ae4a-d774c655ae58","title":"Staff Software Engineer, Scientific System of Record","slug":"staff-software-engineer-scientific-system-of-record-cdd3fc1a","description":"Your Impact at LILA \n We are seeking a Staff Software Engineer to join our Scientific System of Record Team and help build the next-generation AI-driven scientific platform.\n You will focus on developing user interfaces, services, high-performance APIs, databases, and reliable systems that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows. You’ll work closely with ML researchers, platform engineers, and scientists to develop systems that can handle diverse workloads and scale seamlessly, including structured SQL databases, data lakehouses, workflow engines, and lab execution environments.\n This is an opportunity to apply your deep front-end and backend expertise to a cutting-edge AI platform with real scientific impact. If you are passionate about building performant, elegant systems, we would love to hear from you.\n About The Team \n The Scientific System of Record Team (SSR) builds the memory layer for Lila's operations. It answers two questions: what did we plan to build? and what actually happened? These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop.\n What You'll Be Building \n \n User Interfaces and APIs: Design and build high-performance, secure, and well-documented UIs and APIs that integrate with AI-driven applications.\n Database Architecture and Scaling: Develop schemas and manage diverse data systems, including SQL, NoSQL, vector databases, and other emerging technologies, for performance and scalability.\n Application Development: Drive implementation of front-end and backend services with a focus on performance, maintainability, and reliability.\n Performance and Reliability: Diagnose and resolve system bottlenecks while ensuring high availability and low-latency performance across large-scale workloads.\n Cloud and Infrastructure: Leverage AWS services, Kubernetes, and modern DevOps practices to build and deploy production-grade systems at scale.\n Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.\n \n What You’ll Need to Succeed \n \n Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.\n 6–8+ years of engineering experience building and deploying large-scale systems in production.\n Strong expertise in at least one of the following areas, with the ability to work across the stack: front-end engineering, backend engineering, or data modeling and system design.\n TypeScript, React, and Python: Strong experience with React and TypeScript is required; Python experience is strongly preferred.\n Databases: Strong experience with SQL, NoSQL, and emerging database technologies such as vector databases; proven track record in schema design, indexing, and query optimization.\n API Development: Proven ability to design and scale RESTful or GraphQL APIs with a focus on reliability and performance.\n Hands-on experience using AI coding assistants to improve engineering productivity.\n Scientific or Data-Intensive Domains: Experience working in life sciences, materials science, or other research-heavy or data-intensive fields.\n Communication and Collaboration: Strong listening skills and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.\n Problem Solving: Proven ability to take ownership of complex technical challenges while balancing trade-offs between scalability, performance, and maintainability.\n \n Bonus Points For \n \n Cloud and DevOps: Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes, containerization, infrastructure as code such as Terraform or CloudFormation, and CI/CD pipelines such as GitHub Actions.\n Orchestration Systems: Experience with orchestration tools such as Flyte, Temporal, Airflow, Prefect, or similar systems.\n Experience building laboratory, scientific workflow, LIMS, ELN, data platform, or ML platform products.\n Experience designing systems that support auditability, traceability, reproducibility, data provenance, or regulated workflows.\n Compensation \n We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\n U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\n International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to","salary_min":144000,"salary_max":288000,"location":"Boston, MA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["embeddings","api-design","data-pipeline","cloud"],"apply_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4248045009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T22:33:04Z","expires_at":"2026-06-29T14:17:44.978763Z","created_at":"2026-05-27T14:18:36.116567Z","updated_at":"2026-05-30T14:17:45.092909Z","company_name":"Lila Sciences","company_slug":"lila-sciences","company_logo_url":"https://www.google.com/s2/favicons?domain=lila.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a9b04ca5-e47c-493e-beea-c98f715ff641"},{"id":"e4d74511-aa09-4fba-b84d-d7a12a03faf5","company_id":"a25140f5-772d-4c47-947d-7c655ed80737","title":"Software Engineer - Backend Services","slug":"software-engineer-backend-services-d11bb694","description":"Software Engineer - Backend Services \n Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values .   \n This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid   \n Who We Need   \n Truveta is building a diverse and inclusive team to tackle complex health and technical challenges. We are seeking enthusiastic new graduates who are problem-solvers, collaborative teammates, and eager to make a difference in healthcare. If you’re excited about purposeful work, joining a mission-driven team, and launching your career in a supportive environment, Truveta could be the perfect place to start.   \n This Opportunity   \n Patients, doctors, and medical researchers deserve technology that is reliable, secure, and capable of turning health data into meaningful insight. As part of the Intelligence Platform and Applications team, you’ll use your expertise in backend engineering, distributed systems, cloud-native infrastructure, and production operations to build the robust service layer that intelligent healthcare applications depend on. \n  \n This is an opportunity to contribute to meaningful backend services and features end to end: from service design and API development to deployment, debugging, observability, reliability, and security. You’ll work across platform, application, data, and AI-enabled workflows, helping ensure that services are well-architected, operationally sound, and built for long-term maintainability. \n  \n If you’re motivated by purpose and enjoy building durable backend systems that support learning, decision-making, and discovery in healthcare, you’ll find this an inspiring place to grow. You’ll work in an ambitious, fast-paced, collaborative environment where every contribution helps make healthcare more connected, intelligent, and impactful. \n We are seeking engineers who:   \n \n \n Design and build production-grade backend services: Experienced in service architecture, API design, async-first Python development, testing, packaging, debugging, and operating backend systems in production. \n Contribute to backend features and services end to end: Capable of taking well-scoped services and features from design through implementation, deployment, monitoring, and ongoing maintenance. \n \n  \n Engineer for scale, resilience, and maintainability: Grounded in modular architecture, separation of concerns, code quality, observability, performance, and pragmatic design trade-offs. \n \n  \n Bring strong Python backend craftsmanship: Experienced with async programming, modern Python service patterns, well-tested code, and tools such as  uv , ruff , and ty to deliver reliable, maintainable systems. \n \n  \n Support AI-enabled workflows through strong backend foundations: Experienced integrating, or contributing to integrations with, LLM APIs such as OpenAI, Azure OpenAI, or equivalent into backend services, with attention to reliability, security, latency, error handling, and maintainability. \n \n Understand modern AI service integration patterns: Practical exposure to agentic AI frameworks or interoperability protocols such as LangGraph, LangChain, MCP, or A2A, and an understanding of how these patterns support tool orchestration, service integration, and AI workflow design. \n \n  \n Improve deployment and operational reliability: Able to contribute to CI/CD configuration, deployment stage setup, pipeline hardening, environment debugging, rollback strategy, and production readiness. \n \n  \n Build reliable cloud-native systems: Hands-on with Docker, devcontainers, Kubernetes, CI/CD pipelines, infrastructure-as-code patterns, AKS, Terraform/Terragrunt, and deployment automation. \n \n  \n Build secure services by default: Experienced with dependency health, Snyk/CVE triage, library upgrades, token hygiene, OWASP-aligned practices, secrets handling, and security patching within SLA. \n \n  \n Manage artifacts and dependencies responsibly: Experienced with or exposed to artifact registry workflows such as JFrog, Docker/PyPI proxying, GPU artifact mirroring, package provenance, or similar dependency management practices. \n \n  \n Collaborate across boundaries: Partner effectively with platform, ML, application, data, and product engineers to transform concepts into scalable, reliable backend solutions. \n \n Demonstrate strong engineering ownership: Own meaningful features or service components, contribute to technical design, raise code quality, support peers, and make pragmatic trade-offs that balance speed, quality, security, and reliability. \n \n  \n Act with purpose: Ap","salary_min":110000,"salary_max":145000,"location":"Seattle, WA","workplace":"hybrid","job_type":"full-time","experience_level":"mid","tags":["distributed-systems","cloud","api-design","llm","agents","healthcare","backend"],"apply_url":"https://job-boards.greenhouse.io/truveta/jobs/6002807004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T17:14:16Z","expires_at":"2026-06-29T14:14:41.899585Z","created_at":"2026-05-27T14:15:20.672768Z","updated_at":"2026-05-30T14:14:42.016448Z","company_name":"Truveta","company_slug":"truveta","company_logo_url":"https://www.google.com/s2/favicons?domain=truveta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e4d74511-aa09-4fba-b84d-d7a12a03faf5"},{"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":"eecb466b-db53-4f77-8014-1544cbb07fe9","company_id":"8108dfba-dc9f-4a18-b247-8cfbd20a0f26","title":"Senior Agent Architect","slug":"senior-agent-architect-ccdcc8ba","description":"About Parloa \n Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale.\n  \n About the Role: \n As a Senior Agent Architect at Parloa, you will play a key role in transforming customer service with AI Agents. In this customer-facing role, you will support the implementation of Parloa's solutions, enhancing customer experiences for clients and partners.\n Using your expertise in Large Language Models (LLMs), Prompt Engineering, NLP \u0026 NLU conversational design, and integration platforms, you will craft effective AI workflows and build connections to enterprise systems and ensure quality, performance, and end-to-end operational readiness.\n You will design, prototype, and validate conversational solutions for AI agent deployments, including the integration layer that connects Parloa's platform to customers' existing technology stacks, and guide customers and partners in maximising the value of Parloa's AI solutions.\n This is your opportunity to architect and deliver cutting-edge AI agent solutions while influencing how enterprise customer service evolves in the age of generative AI.\n  \n Areas of Ownership: \n \n Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners. \n Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior.\n Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively. \n Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards. \n Build and configure integrations between customers' systems and Parloa's Platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms) via intergration platforms and APIs to deliver end-to-end enterprise solutions. \n Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities. Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer. \n Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions. Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.\n \n  \n Who You Are: \n \n 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development to create engaging and intuitive conversational experiences\n Ability to analyze customer requirements and craft LLM prompts that align with desired outcomes\n Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact\n Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning\n Strong project and stakeholder management skills, with passion for meeting milestones and effective communication\n Analytical and critical thinker with expertise in risk assessment, problem-solving, and strategy, plus solid knowledge of data structures, system integrations, and enterprise APIs\n Familiarity with API authentication patterns (OAuth, API keys, JWT), data transformation and field mapping logic\n Proficiency in REST API design, JSON/XML data structures, and API testing tools (Postman, etc.)\n Experience reading and consuming API documentation across enterprise SaaS platforms (CRMs, ERPs, contact center platforms)\n Exceptional attention to detail and logical thinking, with a proven ability to identify and address subtle nuances in conversational flows, ensuring a seamless and engaging user experience\n Familiarity with A/B testing methods to ensure AI agent performance at scale\n \n Nice to Have:\n \n Experience building custom connectors via integration platforms such as Paragon (TypeScript)\n Experience with Git-based version control and CI/CD pipelines\n Familiarity with middleware architecture\n \n  \n Our Recruiting Process: \n Talent Acquisition → Hiring Manager → Technical Interview(s) \u0026 Expert Interview → Bar Raiser\n  \n Why Parloa? \n We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments:","salary_min":113000,"salary_max":129000,"location":"New York, NY","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["llm","nlp","api-design","agents","generative-ai"],"apply_url":"https://job-boards.eu.greenhouse.io/parloa/jobs/4871790101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-20T12:05:00Z","expires_at":"2026-06-29T14:19:33.573514Z","created_at":"2026-05-27T14:20:39.841537Z","updated_at":"2026-05-30T14:19:33.687292Z","company_name":"Parloa","company_slug":"parloa","company_logo_url":"https://www.google.com/s2/favicons?domain=parloa.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/eecb466b-db53-4f77-8014-1544cbb07fe9"},{"id":"3261877c-be75-4d43-85d6-3e4911c5fc14","company_id":"5fac52d7-9b0b-4990-80a2-e2949dd0af1d","title":"Senior Software Engineer, ML/AI Platform","slug":"senior-software-engineer-mlai-platform-80ff4bf6","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 looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Platform  (MLPlatform) team. As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, serve, and deploy ML models with higher velocity and performance, while maintaining reliability. We build and maintain a foundational ML platform that spans the full ML lifecycle for use by ML engineers and data scientists. This is an exciting opportunity to join a rapidly growing ML Platform team at the ground floor, with the ability to drive and influence the architectural roadmap, enabling the entire ML organization at Attentive. This team and role are responsible for building and operating the ML data, tooling, serving, and inference layers of the ML platform. We are excited to bring on more engineers to continue expanding this stack.\n What You’ll Accomplish \n \n Unlock offline \u0026 real-time access to trillions of data points for our ML and Data Science teams.\n Manage, expand, and optimize our feature store that enables feature engineering, multi-TB scale training jobs, and offline / real-time inferencing.\n Support PB scale data operations on the feature store using Apache Spark, Spark Structured Streaming, Kafka, and Ray.\n Partner with other teams and business stakeholders to deliver ML and AI initiatives.\n \n Your Expertise \n \n You have been working in the areas of Data Engineering / MLOps for 5+ years, and have built and matured the pipelines of a PB-scale feature store.\n You have deep Apache Spark, Spark Streaming, and Ray Data experience and built data pipelines for ML use cases using these tools.\n You understand the correlation between data cardinality, query plans, configuration settings, and hardware and the impact of each on data pipeline performance .\n You know/have created infrastructure for Training ML models/fine-tuning LLMs. \n You understand the key differences between online and offline ML inferences and can voice the critical elements to be successful with each to meet business needs.\n \n What We Use \n \n Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS.\n Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm.\n Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS.\n Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright.\n Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas.\n \n You'll get competitive  perks and benefits , from health \u0026 wellness to equity, to help you bring your best self to work.\n For US based applicants: \n \n The US base salary range for this full-time position is $180,000 - $250,000 annually   + equity + benefits\n Our salary ranges are determined by role, level and location\n \n #LI-EZ1   \n By applying for this position, your data will be processed as per Attentive's Privacy Policy . \n Attentive Company Values \n Default to Action - Move swiftly and with purpose\n Be One Unstoppable Team - Rally as each other’s champions\n Champion the Customer - Our success is defined by our customers' success\n Act Like an Owner  - Take responsibility for Attentive’s success\n  \n Learn more about AWAKE , Attentive’s collective of employee resource groups.\n  \n If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches you","salary_min":180000,"salary_max":250000,"location":"United States","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["api-design","data-pipeline","pytorch","fine-tuning","tensorflow","microservices","llm","mlops"],"apply_url":"https://job-boards.greenhouse.io/attentive/jobs/4252255009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-19T20:47:29Z","expires_at":"2026-06-29T14:18:28.156485Z","created_at":"2026-05-27T14:19:20.116375Z","updated_at":"2026-05-30T14:18:28.272305Z","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/3261877c-be75-4d43-85d6-3e4911c5fc14"},{"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":"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":"3fdfa438-5f6b-4aef-baac-3df2d52d6fdf","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Integration Engineer","slug":"integration-engineer-923c2233","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 Enterprise Integrations team sits within IT and is responsible for connecting and automating Harvey's core corporate systems — Salesforce, NetSuite, Workday, Marketo, and our data warehouse — to power critical business processes as the company scales. As an Integration Engineer, you will design, develop, and maintain the integrations and data pipelines that keep these systems in sync and drive automation across Lead-to-Cash, Order Management, Employee Lifecycle, and other enterprise workflows. You will report to the Manager of Enterprise Integrations and work closely with the Lead Integration Engineer, Business Systems, IT, and Ops teams.\n\nThis is a hands-on building role. Harvey is moving beyond point-to-point automations toward a robust, scalable enterprise integration platform, and you will be a key contributor to that evolution. The ideal candidate combines strong technical skills in iPaaS platforms and scripting with the ability to understand complex business processes and collaborate effectively with non-technical partners across the organization.\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Build and maintain integrations between Harvey's core enterprise systems (Salesforce, NetSuite, Workday, Marketo, Snowflake) using iPaaS platforms and custom code.\n\n - Develop data pipelines and transformation logic to ensure accurate, timely data flows across the Lead-to-Cash lifecycle, including opportunity management, CPQ, order creation, billing, and revenue recognition.\n\n - Implement and maintain reverse ETL pipelines that sync data from the warehouse back to GTM, Finance, and operational teams where they work.\n\n - Design and build custom application workflows that automate business processes such as order management, employee onboarding, and marketing operations.\n\n - Establish and enforce integration standards including error handling, logging, monitoring, alerting, and retry logic to maintain 99.9% reliability of business-critical data flows.\n\n - Partner cross-functionally with Finance Systems, GTM Systems, Revenue Operations, and People Ops to translate complex business requirements into scalable technical solutions.\n\n - Write and maintain integration documentation, including data flow diagrams, API specifications, runbooks, and troubleshooting guides.\n\n - Investigate and resolve integration failures in production, performing root cause analysis and implementing preventive measures.\n\n - Contribute to the team's shared tooling, frameworks, and best practices as the integration platform matures.\n\n\n\n\n\nWHAT YOU HAVE\n\nMust-Have Qualifications:\n\n - 3–6 years of experience in Integration Engineering, Business Systems Engineering, or Software Engineering with a strong focus on backend integrations and data pipelines.\n\n - Hands-on experience with enterprise iPaaS platforms (e.g., Workato, MuleSoft, Boomi, Tray.io http://Tray.io) and a strong understanding of when to use iPaaS vs. custom code.\n\n - Proficiency in scripting languages (Python, JavaScript) for data transformation, API scripting, and automation logic.\n\n - Working knowledge of API standards (REST, SOAP, GraphQL) and authentication protocols (OAuth, SAML, API keys).\n\n - Experience integrating enterprise SaaS applications, particularly some combination of: Salesforce, NetSuite, Workday, Marketo, or Snowflake.\n\n - Understanding of data modeling, schema mapping, and data transformation across heterogeneous systems.\n\n - Strong debugging and troubleshooting skills across complex, multi-system environments.\n\n - Excellent communication skills and the ability to translate technical concepts for non-technical Finance, Sales, and Operations partners.\n\n - Ability to thrive in a fast-paced, high-growth environment with s","salary_min":133500,"salary_max":200300,"location":"San Francisco, CA","workplace":"remote","job_type":"full-time","experience_level":"mid","tags":["payments","data-pipeline","agents","api-design"],"apply_url":"https://jobs.ashbyhq.com/harvey/3e41d1c2-7ed5-4eac-a0ea-e51293f66e2e/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-18T18:51:56.132Z","expires_at":"2026-06-29T14:02:10.874496Z","created_at":"2026-05-19T14:02:21.481257Z","updated_at":"2026-05-30T14:02:10.98694Z","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/3fdfa438-5f6b-4aef-baac-3df2d52d6fdf"},{"id":"28b052df-d27a-4868-81ba-e0b01f702ffe","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Integration Engineer","slug":"integration-engineer-7f60f685","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 Enterprise Integrations team sits within IT and is responsible for connecting and automating Harvey's core corporate systems — Salesforce, NetSuite, Workday, Marketo, and our data warehouse — to power critical business processes as the company scales. As an Integration Engineer, you will design, develop, and maintain the integrations and data pipelines that keep these systems in sync and drive automation across Lead-to-Cash, Order Management, Employee Lifecycle, and other enterprise workflows. You will report to the Manager of Enterprise Integrations and work closely with the Lead Integration Engineer, Business Systems, IT, and Ops teams.\n\nThis is a hands-on building role. Harvey is moving beyond point-to-point automations toward a robust, scalable enterprise integration platform, and you will be a key contributor to that evolution. The ideal candidate combines strong technical skills in iPaaS platforms and scripting with the ability to understand complex business processes and collaborate effectively with non-technical partners across the organization.\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Build and maintain integrations between Harvey's core enterprise systems (Salesforce, NetSuite, Workday, Marketo, Snowflake) using iPaaS platforms and custom code.\n\n - Develop data pipelines and transformation logic to ensure accurate, timely data flows across the Lead-to-Cash lifecycle, including opportunity management, CPQ, order creation, billing, and revenue recognition.\n\n - Implement and maintain reverse ETL pipelines that sync data from the warehouse back to GTM, Finance, and operational teams where they work.\n\n - Design and build custom application workflows that automate business processes such as order management, employee onboarding, and marketing operations.\n\n - Establish and enforce integration standards including error handling, logging, monitoring, alerting, and retry logic to maintain 99.9% reliability of business-critical data flows.\n\n - Partner cross-functionally with Finance Systems, GTM Systems, Revenue Operations, and People Ops to translate complex business requirements into scalable technical solutions.\n\n - Write and maintain integration documentation, including data flow diagrams, API specifications, runbooks, and troubleshooting guides.\n\n - Investigate and resolve integration failures in production, performing root cause analysis and implementing preventive measures.\n\n - Contribute to the team's shared tooling, frameworks, and best practices as the integration platform matures.\n\n\n\n\n\nWHAT YOU HAVE\n\nMust-Have Qualifications:\n\n - 3–6 years of experience in Integration Engineering, Business Systems Engineering, or Software Engineering with a strong focus on backend integrations and data pipelines.\n\n - Hands-on experience with enterprise iPaaS platforms (e.g., Workato, MuleSoft, Boomi, Tray.io http://Tray.io) and a strong understanding of when to use iPaaS vs. custom code.\n\n - Proficiency in scripting languages (Python, JavaScript) for data transformation, API scripting, and automation logic.\n\n - Working knowledge of API standards (REST, SOAP, GraphQL) and authentication protocols (OAuth, SAML, API keys).\n\n - Experience integrating enterprise SaaS applications, particularly some combination of: Salesforce, NetSuite, Workday, Marketo, or Snowflake.\n\n - Understanding of data modeling, schema mapping, and data transformation across heterogeneous systems.\n\n - Strong debugging and troubleshooting skills across complex, multi-system environments.\n\n - Excellent communication skills and the ability to translate technical concepts for non-technical Finance, Sales, and Operations partners.\n\n - Ability to thrive in a fast-paced, high-growth environment with s","salary_min":133500,"salary_max":200300,"location":"New York, NY","workplace":"remote","job_type":"full-time","experience_level":"mid","tags":["data-pipeline","payments","api-design","agents"],"apply_url":"https://jobs.ashbyhq.com/harvey/016aedbe-b914-456f-b9ea-70e42adc00db/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-18T18:51:41.182Z","expires_at":"2026-06-29T14:02:11.039304Z","created_at":"2026-05-19T14:02:21.641578Z","updated_at":"2026-05-30T14:02:11.152982Z","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/28b052df-d27a-4868-81ba-e0b01f702ffe"},{"id":"870a50fb-c75f-4fb9-9b7e-ffc6b8d7ce5d","company_id":"d66267b6-f404-410f-9b8e-fe8bbcfcaf1b","title":"Senior Software Engineer (Typescript / FrontEnd) - AI/ML","slug":"senior-software-engineer-typescript-frontend-aiml-35fbefe6","description":"About ClickHouse\n Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.\n The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.\n We’re on a mission to transform how companies use data. Come be a part of our journey!\n The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. \n What will you do? \n \n Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.\n API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.\n UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds.\n Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.\n Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.\n \n What you bring along: \n \n 5+ years of software engineering experience in production environments \n Exposure to working directly with AI/ML technologies\n Strong frontend skills with TypeScript/JavaScript and React\n Backend development experience in TypeScript or Python, with a focus on API design and service architecture\n You have a high level of ownership and can drive features from concept to production with minimal supervision\n You thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders\n \n Nice to have \n \n Experience building data-oriented interfaces and visualizations\n Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases\n Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment\n Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus\n \n #LI-remote\n The typical starting salary for this role in the US is\n $141,000 — $195,000 USD \n The typical starting salary for this role in US Premium Markets is\n $158,000 — $232,000 USD \n Compensation \n For roles based in the  United States , t he typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.\n These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.\n An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.\n If you have any questions or comments about compensation as a candidate, please get in touch with us at  paytransparency@clickhouse.com . \n Perks \n \n Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries. \n Healthcare - Employer contributions towards your healthcare. \n Equity in the company - Every new team member who joins our company receives stock options. \n Time off - Flexible time off in the US, generous entitlement in other countries. \n A $500 Home office setup if you’re a remote employee. \n Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsit","salary_min":158000,"salary_max":232000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","code-generation","agents","api-design","embeddings","frontend","typescript","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/clickhouse/jobs/5996876004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-18T12:35:56Z","expires_at":"2026-06-29T14:13:50.992332Z","created_at":"2026-05-27T14:14:25.615889Z","updated_at":"2026-05-30T14:13:51.113512Z","company_name":"ClickHouse","company_slug":"clickhouse","company_logo_url":"https://www.google.com/s2/favicons?domain=clickhouse.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/870a50fb-c75f-4fb9-9b7e-ffc6b8d7ce5d"},{"id":"ffe5f3ba-8c16-4fd8-b4bb-8b32e36fc8ec","company_id":"35b5bf82-2cae-43a8-8aac-88501c3267ed","title":"Senior Robot Infrastructure Engineer","slug":"senior-robot-infrastructure-engineer-2be99595","description":"Company Overview \n At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.\n  \n Position Overview \n We are seeking a versatile Robotics Infrastructure Engineer to build the edge-to-cloud systems that connect, manage, update, and monitor our robot fleet at scale. Your work will span on-device software, cloud infrastructure, fleet observability, OTA updates, and reliable connectivity in real-world environments. You should be comfortable writing production-grade C++ and Python on robots while also designing secure, low-latency pipelines into cloud and web platforms. This role involves close collaboration with robotics, autonomy, hardware, deployment, and web product teams to unlock new capabilities powered by real-time robot data.\n Responsibilities \n \n Design, implement, and maintain production-grade C++ and Go running directly on robotic platforms.\n Build on-device systems for interfacing with core robotics software, managing local data buffering, and handling edge-side communication logic.\n Architect and maintain secure, low-latency edge-to-cloud data pipelines connecting deployed robot fleets to cloud infrastructure and web platforms.\n Design, build, and operate OTA update mechanisms for safely and reliably deploying software updates to robots in the field.\n Build telemetry, alerting, logging, and monitoring tools across the robot operating system, cloud infrastructure, and fleet dashboards.\n Optimize edge software for reliability, performance, resource usage, and resilience under real-world deployment constraints.\n Collaborate with autonomy, hardware, deployment, and web product teams to support new features powered by live robot data and fleet-scale infrastructure.\n Continuously improve fleet reliability, observability, uptime across both device and cloud systems.\n \n Preferred Qualifications \n \n 3+ years of relevant industry experience.\n Strong production programming experience in C++ and Go.\n Prior experience deploying, operating, or managing connected hardware, IoT devices, or robotic systems at scale.\n Experience architecting and managing cloud infrastructure, including services such as AWS, GCP IoT Core, EC2, S3, Lambda, or related technologies.\n Deep understanding of networking protocols commonly used in robotics, IoT, or constrained environments, such as MQTT, WebSockets, gRPC, or similar protocols.\n Demonstrated experience building or managing OTA update systems for edge devices or deployed fleets.\n Strong systems-level understanding of edge computing constraints, including CPU, memory, storage, power cycles, connectivity loss, and local data persistence.\n Experience building fleet observability systems, including telemetry, metrics, logging, alerting, monitoring, and uptime tracking.\n Strong focus on reliability, fault tolerance, self-healing infrastructure, and safe operation of deployed systems.\n Experience with OS-level OTA infrastructure or full-device update mechanisms\n \n  \n Base Salary Range\n $100,000 — $300,000 USD","salary_min":100000,"salary_max":300000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["robotics","cloud","data-pipeline","api-design","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/skildai-careers/jobs/5222931008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-16T01:55:22Z","expires_at":"2026-06-29T14:10:37.3216Z","created_at":"2026-05-16T14:11:11.960044Z","updated_at":"2026-05-30T14:10:37.435069Z","company_name":"SkildAI","company_slug":"skildai","company_logo_url":"https://www.google.com/s2/favicons?domain=skild.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ffe5f3ba-8c16-4fd8-b4bb-8b32e36fc8ec"}],"page":1,"per_page":20,"total":472,"total_pages":24}