{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. 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We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n Developers and enterprises build on Claude through the Claude Platform. Our models are getting exponentially more intelligent, and our APIs and developer tools need to evolve just as quickly so developers can take advantage of that intelligence safely.\n We're hiring Engineering Managers to lead teams that build these APIs and developer tools. We are shipping APIs and infrastructure for building and running agents in production. These APIs ship alongside SDKs, docs, and tooling that developers (and agents!) utilize in order to build high quality integrations. These abstractions are backed by our identity, verification, and trust platform, which lets us scale access to Claude responsibly.\n Key responsibilities\n \n Lead a team of engineers to ship high quality work quickly, owning planning, prioritization, delivery, and operational health\n Partner with product to set your team's roadmap, and bring a strong point of view on what developers need\n Talk to customers directly and turn what you learn into engineering priorities\n Guide API design and architecture decisions for distributed systems that have to stay reliable as usage grows\n Work closely with Research, Safeguards, Security, and go-to-market teams to bring new model capabilities to developers safely\n Recruit, coach, and grow strong engineers\n \n Minimum qualifications\n \n You have experience managing high-performing software engineering teams shipping developer products, including hiring, coaching, and performance management\n You're product-minded and customer-oriented. You care about who uses what your team builds, and you've shaped roadmaps alongside product partners\n You've built and scaled distributed systems in production, and you have the technical depth required to guide architecture and API design\n You've led teams that ship quickly and hold a high quality bar\n You collaborate well across functions and can align teams you don't manage\n You care about Anthropic's mission and about developing AI safely\n \n Preferred qualifications\n \n Experience building agent infrastructure or products on top of LLMs\n Experience with identity, verification, access control, or trust and safety systems\n \n Deadline to apply:  None. Applications will be reviewed on a rolling basis. \n Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. \n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $405,000 — $485,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before you","salary_min":405000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["api-design","distributed-systems","llm","alignment","platform"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5378643008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-14T04:15:36Z","expires_at":"2026-11-13T16:54:55.457822Z","created_at":"2026-10-14T15:17:21.754142Z","updated_at":"2026-10-14T16:54:55.461135Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/12e81e2e-7f84-4b3e-8fc0-0b66e2fcdb45"},{"id":"dde20c9f-561a-4f7f-bc17-cbce490cd4b4","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Legal Operations Tech and AI Enabler","slug":"legal-operations-tech-and-ai-enabler-d39c1c40","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 Legal Operations team is responsible for optimizing the efficiency and effectiveness of the Legal Department at Anduril and works cross-functionally to streamline workflows, automate routine tasks, implement best practices and support regulatory compliance efforts. With the overarching aim of supporting the Company’s overall strategic goals, the Legal Operations team acts as a bridge between legal, the Company’s business units, and outside counsel.\n ABOUT THE JOB\n We are looking for a Legal Operations Engineer to join our rapidly growing team on-site in Costa Mesa, California. This is a hands-on technical execution role where you’ll serve as the operational backbone for the Legal Department’s technology ecosystem for our fast-paced, multi-disciplinary team. You will spend real time in Jira, Airtable, Foundry, our CLM, and the seams between them. Expect to move between a same-day fix for a business partner who can't get a document routed, a data cleanup across a few thousand contract records, and a configuration change that shaves a step out of an approval chain. You will become a member of the team who knows how every one of these systems actually behaves, not just how it is supposed to work, which is the foundation for designing the next generation of them. As you build that fluency and demonstrate technical judgment, the work shifts from maintaining to building: scoping requirements, designing automated workflows, and eventually taking point on new system implementations as this function grows. If you are scrappy, technically curious, allergic to manual work a machine could do, and comfortable being the person who gets pinged when a workflow breaks, this role is for you.\n WHAT YOU'LL DO\n Systems Administration \u0026 Operational Excellence \n \n Integrate into the Legal Department's intake and support queue in Jira - triaging tickets, setting expectations, resolving requests, and escalating what needs a lawyer's judgment to gain first-hand knowledge of our fundamental workflows\n Serve as frontline administrator and first responder for our legal systems, including CLM, e-signature, matter management, document management, e-billing, and AI tooling - access, permissions, templates, configuration, and break/fix\n Monitor existing automations and integrations for failures, diagnose root causes, and fix them\n Execute recurring operational work: user provisioning and offboarding, template updates, approval routing changes, access reviews, and system hygiene checks\n Maintain data integrity and quality across contract and matter management systems - establishing metadata standards, field hygiene, bulk updates, deduplication, and cleanup ahead of reporting cycles\n Produce and refresh recurring reporting and dashboards on cycle times, request volume, contract throughput, and outside counsel spend\n \n Process Improvements \n \n Make incremental improvements to existing workflows: reduce manual steps, tighten validation, add conditional logic, eliminate the failure modes you keep seeing in the queue\n Build automations and integrations to close gaps between systems using no-code/low-code platforms, APIs, and scripting\n Track recurring pain points from the ticket queue and surface them to Legal Ops with a proposed fix and a rough sense of effort\n Assist with data migrations and configuration changes during larger Legal Ops initiatives\n Support AI tooling in the department - prompt and template maintenance, output quality spot-checks, and honest reporting on where the tool isn't working\n \n Growing into \n \n Driving tool adoption through training, office hours, and enablement materials - including the follow-up that turns a launched tool into one people actually use\n Scoping and designing new workflows and lightweight applications from ambiguous requirements, with increasing autonomy over time\n Translating what lawyers, paralegals and peer operations associates need into technical requirements, then building, documenting, and supporting the result\n Taking a lead technical role in new system implementations and vendor evaluations\n Partnering with IT, Security, Procurement, and Finance on integrations, vendor onboarding, data handling, and export control requirements\n Shaping the technical dir","salary_min":116000,"salary_max":154000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["llm","payments","api-design","computer-vision","legal"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5264938007?gh_jid=5264938007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T22:32:16Z","expires_at":"2026-11-13T16:57:15.832198Z","created_at":"2026-10-14T15:21:00.965332Z","updated_at":"2026-10-14T16:57:15.835205Z","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/dde20c9f-561a-4f7f-bc17-cbce490cd4b4"},{"id":"3fe52aee-b25e-4fe7-bb7c-574f48250345","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Staff Software Architect, Intelligence Systems ","slug":"staff-software-architect-intelligence-systems-715023cb","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 Anduril Intelligence Systems (AIS) is focused on positioning Anduril as a lead provider of specialized engineering and next generation national security products for Intelligence Community (IC) customers. We work within the IC to understand their requirements, shape their concepts of operation, and deliver exquisite capability across their problem set. We aim to develop and deploy critically needed capabilities that address our customers’ most pressing national security requirements.\n ABOUT THE JOB\n We are looking for a Software Architect to join our rapidly growing team in Reston, VA. In this role, you will be responsible for defining the architectural direction of large-scale, real-time, mission-critical software. You will lead the design of high-performance systems spanning tactical edge deployments to distributed backend infrastructure, make critical trade-offs between performance, modularity, and maintainability at scale, and mentor senior engineers across the organization. This will require deep expertise in modern C++ and Rust, experience architecting numerics-heavy real-time systems, fluency with asynchronous/multithreaded programming (e.g., Tokio), and a strong grasp of the complex intersection of software and math — including state estimation, target tracking, optimization, and dynamic programming (MCP / Bellman equations) . If you are someone who thrives on ambitious problems, enjoys troubleshooting real-world systems, and wants to build software that is beyond a proof-of-concept — part of real tactical code deployed to the warfighter — then this role is for you. \n WHAT YOU’LL DO \n \n Define and drive the architectural vision for large-scale software systems that ingest, fuse, and act on data from diverse sensors in real time\n Lead the design and implementation of performant, real-time, embedded bare-metal systems in Rust at production scale\n Make high-leverage architectural trade-offs across performance, modularity, testability, and maintainability for mission-critical, edge-deployed systems\n Mentor and technically lead senior engineers, setting coding standards, review processes, and CI/CD best practices across the team\n Engage directly with customers to ensure successful outcomes for mission-critical needs\n Troubleshoot complex, real-world system issues spanning software, math assumptions, sensor behavior, and networking\n Contribute to all phases of the software development lifecycle including prototyping, modeling \u0026 simulation, field testing, and deployment\n Help shape hiring and technical growth of the broader organization as it hyper scales\n \n REQUIRED QUALIFICATIONS\n \n 10+ years of software engineering experience with a Bachelor's degree (or equivalent) in Computer Science, Applied/Computational Mathematics, Electrical Engineering, Aerospace Engineering, Controls/Dynamical Systems, Statistics, or related field\n Proven experience architecting large-scale, production-grade codebases in real-time or high-performance environments\n Experience with modern IPC frameworks and fundamentals\n Experience architecting and designing REST APIs for public consumption to articulate complex real-time systems\n Experience with CI/CD, unit testing, git version control, and microservices\n Currently possesses and is able to maintain an active U.S. Secret clearance.\n \n PREFERRED QUALIFICATIONS\n \n M.S. or Ph.D. in a technical field (dual academic background in software + math highly valued)\n Domain expertise in embedded bare-metal systems\n Expert-level proficiency in modern Rust, including asynchronous and multithreaded programming (e.g., Tokio for Rust)\n Experience with FPGA\n Deep knowledge of networking protocols and systems\n Expertise or experience in cryptographic algorithms and the fundamentals of both symmetric and asymmetric cryptography\n Prior DoD program experience (Army, Air Force, MDA, SCO, Navy)\n Experience with GPU / CUDA kernel development\n \n  \n  \n US Salary Range\n $220,000 — $292,000 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 considera","salary_min":220000,"salary_max":292000,"location":"Reston, VA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","computer-vision","payments","gpu","llm","microservices","api-design"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5261353007?gh_jid=5261353007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T17:16:39Z","expires_at":"2026-11-13T16:57:16.705084Z","created_at":"2026-10-14T15:21:01.965044Z","updated_at":"2026-10-14T16:57:16.707891Z","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/3fe52aee-b25e-4fe7-bb7c-574f48250345"},{"id":"08abe8d6-65e3-466e-8f29-1901fbeb8e57","company_id":"66e863fb-9aaf-40df-996c-eb439e6f857e","title":"Software Engineer, Agentic Runtime ","slug":"software-engineer-agentic-runtime-2580af99","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. You'll be 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  \n About the Role: \n  \n The Agentic Runtime team builds the low‑latency, reliable, and secure foundation that powers Glean’s AI agents and assistant experiences at scale. You’ll design and operate core runtime services for multi‑turn orchestration, tool calling, model routing, memory, streaming, and safety. You’ll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy — while optimizing cost and reliability. \n  \n You will: \n \n \n Own impactful runtime problems end‑to‑end — from architecture and design to production launch and ongoing reliability. \n Build and evolve core services for session lifecycle, streaming responses (e.g., gRPC/WebSockets), structured tool execution, memory/state, and policy/guardrails. \n Design for performance, correctness, and cost: reduce p50/p95 latency, improve tail behavior, and optimize token/tool budgets. \n Integrate with leading LLM providers (e.g., OpenAI, Anthropic, Google Gemini) and internal evaluation frameworks to improve quality and predictability. \n Harden the platform with fault isolation, retries, timeouts, circuit‑breaking, backpressure, and graceful degradation. \n Instrument deep observability (tracing, metrics, logs) and create playbooks/SLOs for high availability and on‑call excellence. \n Collaborate closely with product, quality, and application teams to prioritize the most impactful roadmap investments. \n \n You are: \n \n \n 3+ years of software engineering experience building production distributed systems or cloud‑native applications. \n BS/BA in Computer Science or related field, or equivalent practical experience. \n Strong coding skills in at least one of: Python, Go, Java, Javascript, Typescript, C++, with a focus on reliability, performance, and tests. \n Product‑minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration. \n Ownership‑driven with a positive, proactive attitude; comfortable leading projects or learning from battle‑tested engineers. \n \n \n Experience operating services on Kubernetes and at least one major cloud (e.g., GCP, AWS, or Azure). \n Familiarity with event/streaming systems (e.g., Pub/Sub, Kafka), caching (e.g., Redis), and data stores for low‑latency paths. \n Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing. \n Strong observability and debugging skills: tracing (e.g., OpenTelemetry), metrics, dashboards, and production forensics. \n Background in one or more areas is a plus: policy/guardrails, multi‑tenant isolation, rate‑limiting, concurrency control, cost optimization. \n \n Location:   \n \n \n This role is hybrid (4 days a week in our Mountain View office) \n \n Compensation \u0026 Benefits: \n  \n The standard base sa","salary_min":180000,"salary_max":210000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["api-design","agents","llm","distributed-systems","cloud"],"apply_url":"https://job-boards.greenhouse.io/gleanwork/jobs/4742953005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-12T23:36:06Z","expires_at":"2026-11-13T16:55:35.324585Z","created_at":"2026-10-14T15:19:25.450729Z","updated_at":"2026-10-14T16:55:35.327737Z","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/08abe8d6-65e3-466e-8f29-1901fbeb8e57"},{"id":"9f3b22a7-0295-41b4-9648-e40148bbd237","company_id":"5b08d89d-9846-4ef7-8b53-d07ef3ee6c19","title":"Software Engineer, Lab Platform","slug":"software-engineer-lab-platform-eec06b9e","description":"About Arc Institute \n Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. Founded in 2021 and based in Palo Alto, Arc partners with Stanford University, UC Berkeley, and UC San Francisco.\n Unlike academia, our scientists have long-term funding and industry-like resources. Unlike industry, they're free to pursue high-risk, long-term research without commercial pressures. Arc's Technology Centers and Core Investigator labs work side by side, integrating experimental and computational biology under one roof to tackle problems neither could solve alone.\n Our two Institute Initiatives reflect this model in action:\n \n Virtual Cell Initiative : Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets,  accelerating the path from biological insight to clinical trials.\n Alzheimer's Disease Initiative : Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.\n \n More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.\n About the position \n You'll join Arc's Infrastructure Engineering team and own support and operations for our laboratory information management system (LIMS). Arc's scientists record their samples and experiments there, including the variables they change from one experiment to the next. That record is business intelligence for the lab: it's how scientists learn which conditions improve an assay, and it also feeds the pipelines that process lab data automatically. You'll run the request queue, make schema changes, train users and maintain the checks on data as it's entered, and you'll turn the requests that keep coming back into automation. You don't need LIMS experience: strong Python and SQL and an interest in lab data matter more, and we'll teach you the platform. You'll start under our lab platform Tech Lead, who will review your work and mentor you.\n Why this position could be the best job you’ve ever had \n \n Your work reaches the lab within a week, and it shows up in results: the experiment records you keep accurate are how labs find what makes their assays perform better.\n You'll learn how a research institute turns lab work into data, with a Tech Lead whose goal is to hand you more of the system as you grow.\n \n About you \n \n You finish what you own, and you fix what's broken without being asked.\n You're curious about the biology and the mission. You want to know what a guide or a 10x Flex run is.\n You go to the scientists. You sit down with them, learn how they run and record their experiments, and understand what they need before you propose a fix.\n You're careful and thoughtful. You want more scope and you'll take it on before you have every skill it needs, and you double-check changes other teams depend on.\n You see which requests need a general solution, and you balance that work with the rest of the queue.\n \n In this position you will \n \n Run the request queue for Arc's lab data systems, from questions and fixes to schema changes, which you'll ship through our change workflow so other teams' pipelines don't break.\n Support the templates scientists record experiments with, and the command-line tools that pull their data for analysis.\n Run training sessions for scientists, and write the docs they come back to.\n Build and maintain the checks that catch errors in data as scientists enter it, so bad records don't reach analysis or pipelines.\n Help carry out the refactor of the team and permission structure in our LIMS, which decides who can see and edit what.\n Turn the requests that keep coming back into automation, and choose the approach that fits the problem: a script, a scheduled job, a template change or an AI agent. Write the runbook, add the checks and retire the manual step; changes go through the team's code review.\n By the end of your first year you will\n Build tools that make screen and experiment metadata queryable across systems for computational biologists and lab teams.\n Run the request queue and ship schema changes on your own, with the Tech Lead reviewing designs instead of each change.\n Own a part of the lab platform from design through support.\n \n Requirements \n \n Bachelor’s degree with 0-2 years of relevant experience, or an advanced degree.\n You write solid Python and SQL, and you're comfortable working with REST APIs.\n You debug problems in systems you didn't build, working from the code, logs and data.\n You use AI coding tools day to day or are ready to learn, you check what they produce, and you're careful with sensitive research data.\n You explain technical things clearly to scientists, and you write docs and training that people use.\n You ask for help early and take feedback well.\n You've owned a piece of work from start ","salary_min":118000,"salary_max":146000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","healthcare","agents","api-design"],"apply_url":"https://job-boards.greenhouse.io/arcinstitute/jobs/6222737004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-12T22:16:12Z","expires_at":"2026-11-13T17:03:53.836624Z","created_at":"2026-10-14T15:25:57.643168Z","updated_at":"2026-10-14T17:03:53.839898Z","company_name":"Arc Institute","company_slug":"arc-institute","company_logo_url":"https://www.google.com/s2/favicons?domain=arcinstitute.org\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9f3b22a7-0295-41b4-9648-e40148bbd237"},{"id":"84dcc4a4-8758-4ae4-a08c-63d080d8c66e","company_id":"b467c425-56b3-40ce-826a-e603e82a08bd","title":"Principal Machine Learning Platform Engineer, Foundation AI ","slug":"principal-machine-learning-platform-engineer-foundation-ai-dcf9ae0b","description":"Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  \n At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  \n A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. \n ML Platform powers hundreds of use cases and billions of inferences per day across Discovery, Safety, Economy, and Creation. We build the primitives that let teams train, evaluate, deploy, and operate models quickly and safely—so a new ML idea can reach production in weeks or less. We’re looking for a Principal Platform Engineer who treats platform as a product : someone who can turn complex ML/AI infrastructure into clear, durable APIs, SDKs and easy-to-use CLIs/UIs that our internal developers love.\n This role blends product thinking, developer experience, backend engineering, and infrastructure at scale. Hands‑on ML experience is a plus; a track record of building internal platforms that developers love is a must.\n You Are \n \n Have 10+ years of professional experience and have a wealth of system design experience upon which to draw to build a scalable, reliable ML platform for all of Roblox.\n A Code Machine; you love not only to design and communicate ideas but also to actually ship product. You obsess about user feedback, and constantly drive towards getting platform features in customers hands.\n Proficient in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that developers love to use. \n Good to have - experience with the end‑to‑end ML model lifecycle such as model serving, training, model CI/CD, and GPU resources management, and have built ML platform features that are delightful to use. \n You're passionate about infrastructure‑as‑code and automating painful manual processes. You push for platform solutions that don’t leave on-call teams carrying the burden of design choices.\n Passionate about supporting ML engineers to meet and understand their needs, and translating them into clean, durable platform abstractions.\n A clear communicator who excels at both written and verbal communication across differing levels of technical detail. \n Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field.\n \n You Will \n \n Own platform as a product and set direction end to end: Define requirements, write RFDs, and ship APIs, SDKs, CLIs, and UIs that make ML@Roblox easy to adopt.\n Bootstrap and maintain core ML Platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes.\n Set technical strategy and oversee development of high scale and reliable infrastructure systems, with clear SLOs for latency, availability, and cost. \n Design great developer experiences with paved‑road templates, golden paths, opinionated defaults, and clear docs to reduce time‑to‑first‑production. \n Instrument the platform to measure adoption, friction, reliability, and cost; use data to prioritize roadmap and validate outcomes. \n Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend, especially for GPU‑intensive training and high‑QPS inference. \n Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle.\n Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading‑edge technologies and practices. \n Mentor junior and senior engineers, lead design reviews, and drive cross‑team architectural decisions that last.\n For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page .\n Annual Salary Range\n $295,250 — $345,050 USD \n Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).\n Roblox provides equal employment opportunities to all e","salary_min":295250,"salary_max":345050,"location":"San Mateo, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["mlops","api-design","platform","machine-learning"],"apply_url":"https://careers.roblox.com/jobs/8233722?gh_jid=8233722","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-12T20:57:31Z","expires_at":"2026-11-13T17:02:53.15447Z","created_at":"2026-10-14T15:24:56.150214Z","updated_at":"2026-10-14T17:02:53.157398Z","company_name":"Roblox","company_slug":"roblox","company_logo_url":"https://www.google.com/s2/favicons?domain=roblox.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/84dcc4a4-8758-4ae4-a08c-63d080d8c66e"},{"id":"fad93271-34c1-404a-b2f3-8bc475aaf06a","company_id":"7f631da3-2c29-4575-a413-a9ed92f8af53","title":"Senior AI Engineer, Agentic Systems","slug":"senior-ai-engineer-agentic-systems-1274f235","description":"About the team: \n Rubrik secures and accelerates the world’s AI transformation. As AI agents reshape the enterprise, Rubrik’s Enterprise AI Incubation team proves it on Rubrik itself. We are building a thinking enterprise: applications that don't just record the business but help run it. They learn from our data, act through our own agents, and improve with every decision. Fully backed by executive leadership, this team drives meaningful, large-scale enterprise transformation.\n About the role:\n We want senior engineers who have already shipped agents that real people rely on, and who are ready to do it again at higher stakes. You will drop into the real work, redesign it around agents that carry it end to end, and ship it as the new way that part of Rubrik operates.You’ll own your agent systems end to end: understanding the workflow, designing the architecture, writing the code, deploying, and running it in production. Rather than simply querying an API, you engineer robust, production-grade infrastructure around model endpoints, integrating custom tooling, context pipelines, automated evaluations, and defensive guardrails to ensure resilience against unstructured real-world data.\n You also decide whether a problem needs an agent, a simpler automation, or nothing at all, and you have explicit authority to stop or re-scope work that won’t deliver impact. You thrive in ambiguous environments with a low-ego mindset, leveraging AI coding tools as core collaborative partners in your engineering workflow.\n What you’ll do:\n \n Lead product discovery alongside Product Managers and domain experts to understand real workflows, map them out, and define clear problems, baselines, and success criteria as the foundation for building agentic solutions.\n Design, build, test, and deploy production agents, automations, and internal tools using coding agents, LLM APIs, and agent frameworks, integrated with Rubrik’s internal agent platform and business systems.\n Turn complex processes into multi-agent workflows that carry real work and make decisions: orchestrators that qualify and routes deals, workers that move orders through approval and fulfillment under business rules, agents that monitor signals and recommend actions for customer health, or coordinated agents that handle hire-to-retire steps across HR, IT, and managers with shared state and clear handoffs.\n Engineer agents for autonomy with reliability, including tool and orchestration flows, context management, caching, retries, and failure handling.\n Leverage full-stack engineering across backend services, APIs, data models, interactive screens, approval UIs, and chat interfaces as the complete medium to deliver high-ownership, user-facing agent systems.\n Apply solid software engineering practices to AI systems, treating prompts, skills, configs, and specs as versioned artifacts, with code review, tests, CI or CD, and staged rollouts.\n Implement evaluation, guardrails, and quality control: derive evals from workflow data, establish quality gates and guardrails, integrate human-in-the-loop approvals where needed, and monitor production runs to refine agents over time.\n Use measured results to decide how to evolve or retire agents, and turn successful systems into patterns and libraries that can be reused.\n \n Experience you’ll need:\n \n Around 7 or more years of professional software engineering experience in production systems, and around 2 or more years of professional, hands-on experience building AI agents and agent powered production applications with measurable outcomes.\n Strong full stack engineering background, with a track record of designing, building, and owning services end to end, including backend APIs and integrations, data models, and user facing interfaces such as approval UIs, dashboards, or chat surfaces.\n A builder mindset: comfortable defining baselines and metrics, reporting results in business terms, working in a fast moving environment, and closing the loop by building, demoing, learning, and building again. If you like seeing improvements in hours saved, errors avoided, and teams unblocked, you will have plenty of chances to measure that here.\n \n Software engineering skills and best practices:\n \n System design: break down complex problems, design APIs and data models, reason about latency, throughput, and failure modes, and choose simple, robust architectures.\n Algorithms, data structures, access control permissions, and data provenance.\n Spec driven development: turn vague requirements into clear problem statements, write or refine design docs, and use a Spec → Plan → Task → Code→ Converge flow so work is traceable from design to code, including when you use AI coding agents.\n Execution discipline: use version control, code review, automated tests, CI or CD, staged rollouts and rollbacks, logging, metrics, and tracing, and improve systems based on issues and signals from production.\n \n AI engineering skills and best practices","salary_min":188500,"salary_max":282700,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","cloud","api-design","agents","fine-tuning"],"apply_url":"https://www.rubrik.com/company/careers/departments/job.8274601?gh_jid=8274601","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-12T17:15:42Z","expires_at":"2026-11-13T17:03:40.183779Z","created_at":"2026-10-14T15:25:42.354845Z","updated_at":"2026-10-14T17:03:40.186843Z","company_name":"Rubrik","company_slug":"rubrik","company_logo_url":"https://www.google.com/s2/favicons?domain=rubrik.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/fad93271-34c1-404a-b2f3-8bc475aaf06a"},{"id":"e134d960-5a8f-48f6-a055-10527e302063","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (APAC)","slug":"solution-architect-apac-7456acbf","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\n\nKEY RESPONSIBILITIES:\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communica","salary_min":185000,"salary_max":260000,"location":"Singapore","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["llm","rag","api-design","agents"],"apply_url":"https://jobs.ashbyhq.com/langchain/c882af7e-59aa-4017-b791-9a8094c0ef6f/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-10T16:57:17.138Z","expires_at":"2026-11-13T16:55:08.058735Z","created_at":"2026-08-25T18:26:42.877158Z","updated_at":"2026-10-14T16:55:08.06149Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e134d960-5a8f-48f6-a055-10527e302063"},{"id":"a6cb1a62-a2ae-4b86-bb0a-c7210c241a8f","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (NYC)","slug":"solution-architect-nyc-299c723c","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abilit","salary_min":170000,"salary_max":300000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","agents","api-design","rag"],"apply_url":"https://jobs.ashbyhq.com/langchain/f71210f9-12e1-4726-88b9-ebafa194d5b2/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T22:09:49.395Z","expires_at":"2026-11-13T16:55:07.987572Z","created_at":"2026-08-25T18:26:42.786487Z","updated_at":"2026-10-14T16:55:07.990281Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a6cb1a62-a2ae-4b86-bb0a-c7210c241a8f"},{"id":"33db21e5-9d88-4de6-b2d0-3c134c649a65","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (Austin)","slug":"solution-architect-austin-318d756c","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abilit","salary_min":170000,"salary_max":270000,"location":"Austin, TX","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["llm","api-design","agents","rag"],"apply_url":"https://jobs.ashbyhq.com/langchain/da7cbabd-ceed-4d7d-ae25-f226cac0c1c1/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T22:09:36.459Z","expires_at":"2026-11-13T16:55:07.99297Z","created_at":"2026-08-25T18:26:42.792069Z","updated_at":"2026-10-14T16:55:07.996563Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/33db21e5-9d88-4de6-b2d0-3c134c649a65"},{"id":"f98249b2-813f-48ef-91e4-d2e791004bd2","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (Dallas)","slug":"solution-architect-dallas-51e1819a","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abilit","salary_min":170000,"salary_max":270000,"location":"Dallas, TX","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["api-design","rag","llm","agents"],"apply_url":"https://jobs.ashbyhq.com/langchain/933a41a3-43ca-44de-a0ae-f541149151b7/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T22:09:25.388Z","expires_at":"2026-11-13T16:55:07.999911Z","created_at":"2026-08-25T18:26:42.797861Z","updated_at":"2026-10-14T16:55:08.003316Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f98249b2-813f-48ef-91e4-d2e791004bd2"},{"id":"c373a55c-edc7-4941-8d08-2344dd5aecb8","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (Remote)","slug":"solution-architect-remote-1a61487f","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abil","salary_min":170000,"salary_max":270000,"location":"Los Angeles, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["rag","api-design","agents","llm"],"apply_url":"https://jobs.ashbyhq.com/langchain/0a5dd30c-6da1-4095-bd96-b16f27eeb333/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T22:09:15.311Z","expires_at":"2026-11-13T16:55:08.022981Z","created_at":"2026-08-25T18:26:42.82559Z","updated_at":"2026-10-14T16:55:08.026028Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c373a55c-edc7-4941-8d08-2344dd5aecb8"},{"id":"9db2d343-2be2-476f-8816-846f2bbf743b","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (San Francisco)","slug":"solution-architect-san-francisco-576342e0","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abil","salary_min":170000,"salary_max":300000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","agents","rag","llm"],"apply_url":"https://jobs.ashbyhq.com/langchain/e12d7176-8b9f-438a-8f3b-0cbbffab9c5c/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T22:08:47.814Z","expires_at":"2026-11-13T16:55:07.907327Z","created_at":"2026-08-25T18:26:42.712816Z","updated_at":"2026-10-14T16:55:07.910314Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9db2d343-2be2-476f-8816-846f2bbf743b"},{"id":"a5933db7-95b3-4868-a949-7067b206453d","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Sr. Automation Engineer - IT Asset Management","slug":"sr-automation-engineer-it-asset-management-9e6ebd4d","description":"Sr. Automation Engineer - IT Asset Management \n Req ID: GAQ427R222 \n About the Role \n As a Senior Automation Engineer on the IT Asset Management team at Databricks, you will be the technical engine behind transforming how we manage ~$XXM/yr in asset spend across SaaS licenses and hardware. Your primary mission is to eliminate manual toil and build scalable, AI-powered automation that makes asset operations fast, accurate, and effortless as Databricks scales past 14,000 employees.\n Your initial focus will be on IT asset management workflows: automating new hire laptop provisioning, SaaS license lifecycle management, asset data reconciliation, and hardware recovery. Over time, you will expand your automation footprint across IT Support and Operations, including IT support workflows, AV/VC and event support, and incident response management.\n This role requires a strong automation-first mindset, the ability to learn new domains quickly, and comfort building with AI/LLM tools. You will report to the Senior Manager of IT Asset Management.\n The Impact You Will Have \n \n New hire laptop provisioning: Build end-to-end automation for assigning, configuring, and shipping laptops to new hires, targeting a 75% reduction in manual ticket toil.\n SaaS license lifecycle: Automate license consumption monitoring, inactivity-based seat clawbacks, renewal alerting, and cost optimization workflows to help drive $1.5M+ in annual savings and cost avoidance.\n Asset data quality: Automate CMDB/inventory reconciliation, deduplication, and multi-device detection to bring asset records to audit-ready accuracy.\n Offboarding asset recovery: Automate tracking and recovery of hardware from exiting employees, reducing loss and improving chain-of-custody compliance.\n Broader IT Ops automation (over time): Extend automation into IT support, AV/VC and event support, and incident response management as the ITAM automation foundation matures.\n \n What We Are Looking For \n Core Qualifications \n \n 5+ years of experience in IT systems engineering, automation engineering, or a related technical role.\n Proven track record of delivering complex, multi-system automation projects with measurable business impact.\n Strong automation-first mindset: you see a manual process and immediately think about how to build a scalable, reliable automated solution.\n Ability to operate with minimal guidance, take ownership of ambiguous problems, and deliver consistently high-quality work in a fast-paced environment.\n We value a great generalist who can learn a domain quickly over a narrow specialist. You should be comfortable ramping into unfamiliar systems and business processes and building effective automation without needing deep prior domain expertise.\n \n AI and LLM Automation \n \n Hands-on experience building workflows, agents, or tools powered by large language models (e.g., Claude, GPT, Gemini, or similar).\n Ability to design AI-powered automation that handles unstructured inputs, makes decisions, and integrates with enterprise systems.\n Experience with prompt engineering, agent frameworks, or AI-assisted code generation in a production or operational context.\n Comfort evaluating and selecting the right AI approach for a given problem, whether that is a deterministic rule, an LLM call, or a hybrid.\n \n Automation and Integration \n \n Experience building and troubleshooting integrations between IT platforms such as ITSM tools (FreshService, ServiceNow, or similar), identity platforms, and asset management systems.\n Experience designing automation for IT operational processes: onboarding/offboarding, access provisioning, license management, asset tracking, or similar.\n Familiarity with REST APIs, scripting (Python, Bash, or similar), and the ability to connect systems that were not designed to talk to each other.\n Experience with data pipelines, ETL, or data quality workflows is a plus.\n \n Collaboration and Communication \n \n Strong cross-functional collaboration skills. Comfortable working with IT operations, security, procurement, finance, and vendor partners.\n Effective at documenting solutions and training peers on new tools and processes.\n Clear communicator who can translate complex technical work into business terms for non-technical stakeholders.\n \n Nice to Have \n \n Experience with Databricks, data lakehouse architectures, or SQL-based analytics platforms.\n Experience with IT asset management or SaaS management tools (e.g., Oomnitza, Productiv, Zluri, or similar).\n Experience with no-code/low-code automation platforms (e.g., Tines, Workato, or similar).\n Familiarity with ITIL processes or IT service management frameworks.\n \n Location \n US-based, West Coast preferred.\n  \n Pay Range Transparency \n Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages ar","salary_min":121800,"salary_max":167550,"location":"Bellevue, WA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","code-generation","data-pipeline","llm","api-design","infrastructure"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8829047002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T18:09:43Z","expires_at":"2026-11-13T16:55:16.60437Z","created_at":"2026-10-14T15:19:06.003672Z","updated_at":"2026-10-14T16:55:16.607166Z","company_name":"Databricks","company_slug":"databricks","company_logo_url":"https://www.google.com/s2/favicons?domain=databricks.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a5933db7-95b3-4868-a949-7067b206453d"},{"id":"103173eb-39e0-49ad-90d3-4aced5c995f3","company_id":"01048ffd-9864-41e0-a719-14b849fbcbcd","title":"Sr. Software Engineer (AI Data Engineering)","slug":"sr-software-engineer-ai-data-engineering-29df1a0b","description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.\n SR. SOFTWARE ENGINEER (AI DATA ENGINEERING) \n Be a member of the Artificial Intelligence Data Engineering Software team, building AI-powered tools and automation that solve real engineering problems for our launch vehicles and spacecraft.\n Our team builds software that takes recurring, time-consuming work off engineers' plates so they can focus on hard engineering, from automated review of flight and test data to AI agents that help engineers prepare for missions and investigate anomalies. Your work will directly accelerate rapid reuse of the Falcon launch vehicle, support the world's largest satellite communication and AI constellations, and contribute to the development of the world's largest rocket capable of sending humans to Mars.\n You will work side-by-side with engineers across avionics, propulsion, structures, and more to find where their time goes and build tools that give it back, using agentic AI systems, MCP servers, RAG-based search, data pipelines over large telemetry datasets, and traditional automation where it is the right answer. You will own problems end-to-end: scoping the solution with the engineers who have the problem, rolling it out, measuring the time it saves, and maintaining it as the vehicle and processes evolve.\n Aerospace experience is not strictly required - we are looking for smart, motivated, collaborative engineers who love solving problems and want to make an impact on an inspiring mission.\n RESPONSIBILITIES: \n \n Partner directly with engineering teams to identify their most time-consuming, repetitive, or error-prone work, then design and build tools that automate it\n Build automation that processes large volumes of engineering data, including telemetry, hardware design databases, configuration files, and manufacturing and test records, to automate data review, flag anomalies, and surface insights\n Design agentic AI systems, multi-agent workflows, and MCP servers that let engineers query, analyze, and act on data across many internal systems\n Integrate tools into CI/CD pipelines, mission workflows, and review/sign-off processes so automation runs where engineers already work\n Build internal web dashboards that give engineers a clear view of mission status, open work, and data review results\n Rapidly prototype and iterate, then take tools to a production-grade, maintainable state\n Thoroughly test and validate all tools, including evaluating AI outputs against known-good results, so engineers can trust them in a flight-critical environment\n Prioritize work by return on investment and track the engineering hours saved\n \n BASIC QUALIFICATIONS: \n \n Bachelor's degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building automation for practical engineering use cases in lieu of a degree\n 5+ years of experience in software engineering with a focus on automation tools and/or AI integrations (professional and personal projects are applicable)\n 5+ years of programming experience in Python\n \n PREFERRED SKILLS AND EXPERIENCE: \n \n Track record of building tools that engineers or other end users actually adopted, including gathering requirements directly from users and iterating on their feedback\n Comfort processing and analyzing large engineering or scientific datasets (time-series telemetry, sensor data, logs, etc.) using tools such as pandas and NumPy\n Built code or configuration generators that turn a source of truth (design databases, spreadsheets, schemas) into validated outputs\n Hands-on work building complex agentic AI systems and multi-agent workflows, including prompt and context engineering, tool/function calling, and MCP servers or agent skills\n Ability to design evaluations for LLM-based tools, and the judgment to know when a deterministic script is a better fit than an AI model\n Skilled at integrating with many systems through REST APIs, and quickly learning unfamiliar internal tools and data sources\n Working knowledge of relational (PostgreSQL), non-relational, and vector databases, with strong SQL skills\n Full-stack experience building web applications or dashboards (e.g., React/TypeScript frontends with Python backends such as FastAPI or Flask)\n Proficiency developing on Linux, with a solid understanding of Git, testing, CI/CD, and monitoring\n Familiarity deploying containerized applications using Docker and Kubernetes\n Familiarity with hardware engineering concepts (electrical schematics and wiring, sensors, propulsion, controls, or test and manufacturing processes), or a background as a hardware or test engineer who moved into software\n Strong communication skills and ability to explain technical tradeoffs to engineers in other disc","salary_min":165000,"salary_max":265000,"location":"Hawthorne, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","api-design","agents","embeddings","data-pipeline","data-engineering"],"apply_url":"https://boards.greenhouse.io/spacex/jobs/8880858002?gh_jid=8880858002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T00:39:29Z","expires_at":"2026-11-13T17:02:51.84726Z","created_at":"2026-10-14T15:24:54.877845Z","updated_at":"2026-10-14T17:02:51.850729Z","company_name":"SpaceX","company_slug":"spacex","company_logo_url":"https://www.google.com/s2/favicons?domain=spacex.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/103173eb-39e0-49ad-90d3-4aced5c995f3"},{"id":"a8096508-4339-4acb-af22-bfdb3dfc7cd2","company_id":"01048ffd-9864-41e0-a719-14b849fbcbcd","title":"Software Engineer (AI Data Engineering)","slug":"software-engineer-ai-data-engineering-93f6b849","description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.\n SOFTWARE ENGINEER (AI DATA ENGINEERING) \n Be a member of the Artificial Intelligence Data Engineering Software team, building AI-powered tools and automation that solve real engineering problems for our launch vehicles and spacecraft.\n Our team builds software that takes recurring, time-consuming work off engineers' plates so they can focus on hard engineering, from automated review of flight and test data to AI agents that help engineers prepare for missions and investigate anomalies. Your work will directly accelerate rapid reuse of the Falcon launch vehicle, support the world's largest satellite communication and AI constellations, and contribute to the development of the world's largest rocket capable of sending humans to Mars.\n You will work side-by-side with engineers across avionics, propulsion, structures, and more to find where their time goes and build tools that give it back, using agentic AI systems, MCP servers, RAG-based search, data pipelines over large telemetry datasets, and traditional automation where it is the right answer. You will own problems end-to-end: scoping the solution with the engineers who have the problem, rolling it out, measuring the time it saves, and maintaining it as the vehicle and processes evolve.\n Aerospace experience is not strictly required - we are looking for smart, motivated, collaborative engineers who love solving problems and want to make an impact on an inspiring mission.\n RESPONSIBILITIES: \n \n Partner directly with engineering teams to identify their most time-consuming, repetitive, or error-prone work, then design and build tools that automate it\n Build automation that processes large volumes of engineering data, including telemetry, hardware design databases, configuration files, and manufacturing and test records, to automate data review, flag anomalies, and surface insights\n Design agentic AI systems, multi-agent workflows, and MCP servers that let engineers query, analyze, and act on data across many internal systems\n Integrate tools into CI/CD pipelines, mission workflows, and review/sign-off processes so automation runs where engineers already work\n Build internal web dashboards that give engineers a clear view of mission status, open work, and data review results\n Rapidly prototype and iterate, then take tools to a production-grade, maintainable state\n Thoroughly test and validate all tools, including evaluating AI outputs against known-good results, so engineers can trust them in a flight-critical environment\n Prioritize work by return on investment and track the engineering hours saved\n \n BASIC QUALIFICATIONS: \n \n Bachelor's degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building automation for practical engineering use cases in lieu of a degree\n 1+ years of experience in software engineering with a focus on automation tools and/or AI integrations (professional and personal projects are applicable)\n 1+ years of programming experience in Python\n \n PREFERRED SKILLS AND EXPERIENCE: \n \n Track record of building tools that engineers or other end users actually adopted, including gathering requirements directly from users and iterating on their feedback\n Comfort processing and analyzing large engineering or scientific datasets (time-series telemetry, sensor data, logs, etc.) using tools such as pandas and NumPy\n Built code or configuration generators that turn a source of truth (design databases, spreadsheets, schemas) into validated outputs\n Hands-on work building complex agentic AI systems and multi-agent workflows, including prompt and context engineering, tool/function calling, and MCP servers or agent skills\n Ability to design evaluations for LLM-based tools, and the judgment to know when a deterministic script is a better fit than an AI model\n Skilled at integrating with many systems through REST APIs, and quickly learning unfamiliar internal tools and data sources\n Working knowledge of relational (PostgreSQL), non-relational, and vector databases, with strong SQL skills\n Full-stack experience building web applications or dashboards (e.g., React/TypeScript frontends with Python backends such as FastAPI or Flask)\n Proficiency developing on Linux, with a solid understanding of Git, testing, CI/CD, and monitoring\n Familiarity deploying containerized applications using Docker and Kubernetes\n Familiarity with hardware engineering concepts (electrical schematics and wiring, sensors, propulsion, controls, or test and manufacturing processes), or a background as a hardware or test engineer who moved into software\n Strong communication skills and ability to explain technical tradeoffs to engineers in other discipli","salary_min":145000,"salary_max":195000,"location":"Hawthorne, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["data-pipeline","llm","api-design","embeddings","agents","data-engineering"],"apply_url":"https://boards.greenhouse.io/spacex/jobs/8880868002?gh_jid=8880868002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T00:39:23Z","expires_at":"2026-11-13T17:02:51.635632Z","created_at":"2026-10-14T15:24:54.677511Z","updated_at":"2026-10-14T17:02:51.639609Z","company_name":"SpaceX","company_slug":"spacex","company_logo_url":"https://www.google.com/s2/favicons?domain=spacex.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a8096508-4339-4acb-af22-bfdb3dfc7cd2"},{"id":"add4fc69-019a-44ed-84cb-02a73f033485","company_id":"26618e2f-35c7-42eb-8f60-bd25a7e9a0d2","title":"Senior Software Engineer, Backend/Fullstack (Coinbase Advisor - Agentic Trading)","slug":"senior-software-engineer-backendfullstack-coinbase-advisor-agentic-trading-dcaad948","description":"Ready to do the most impactful work of your career? At  Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for \"good enough,\" you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”  learn more about working at Coinbase .\n Senior Software Engineer, Backend/Fullstack (Coinbase Advisor - Agentic Trading)\n We're hiring a Senior Software Engineer to join the Coinbase Advisor team within the Consumer \u0026 Business group. Coinbase Advisor is the world's first RIA-licensed agentic trading system: an AI advisor living inside the Coinbase app that holds a natural conversation about a user's portfolio, gives personalized financial advice, and executes trades on their behalf. This role is primarily backend on a full-stack team. You'll own the services that make agentic trading feel fast, clear, and trustworthy for millions of customers.\n What you'll do: \n \n Own backend services powering Coinbase Advisor and Strategies, from technical design through launch and ongoing operation\n Build integrations with Coinbase's trading APIs so agent recommendations and user-configured strategies translate into correct, auditable execution\n Develop our agentic harness, including tool calling, orchestration, persistent state, and recovery from failed or partially completed actions\n Shape agent behavior through prompt engineering, evals, and conversation analysis, partnering with our registered investment adviser on changes to financial advice\n Improve service reliability, latency, observability, and execution safety, including retry behavior and safeguards against duplicate actions\n Partner with frontend engineering, product, design, trading infrastructure, and legal/compliance to ship customer-facing capabilities within regulatory guardrails\n \n Required Skills and Experience: \n \n 5+ years of professional software engineering experience, with deep backend expertise and a track record of shipping and operating production services\n Strong experience with API design, distributed systems, data modeling, testing, and debugging production failures\n Proficiency in Go or demonstrated ability to learn it quickly\n Experience building production LLM or agentic systems, including tool calling, orchestration, or evaluation\n Proven ability to take ambiguous projects from zero to production with minimal oversight and sound product and technical judgment\n Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.\n Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). \n  \n Annual base salary range (excluding equity and bonus):\n $186,065 — $218,900 USD \n \n Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.\n Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. \n US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. \n Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . \n Data Privacy \u0026 Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .","salary_min":186065,"salary_max":218900,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["api-design","llm","distributed-systems","agents","generative-ai","backend","fullstack"],"apply_url":"https://www.coinbase.com/careers/positions/8174232?gh_jid=8174232","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T23:50:37Z","expires_at":"2026-11-13T16:58:01.532962Z","created_at":"2026-10-14T15:21:41.455481Z","updated_at":"2026-10-14T16:58:01.535851Z","company_name":"Coinbase","company_slug":"coinbase","company_logo_url":"https://www.google.com/s2/favicons?domain=www.coinbase.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/add4fc69-019a-44ed-84cb-02a73f033485"},{"id":"987bedef-5362-4032-815c-ffe9781e13dc","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Engineering Manager, Database Platform","slug":"senior-engineering-manager-database-platform-7979b814","description":"Get to Know Us\n\nHorizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and 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 ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. \n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, 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\nYou will lead the Database Platform team — the engineering team responsible for the data infrastructure that underpins every NodeZero pentest, finding, and report. NodeZero operates at scale: millions of discovered assets, tens of millions of vulnerability findings, and audit-critical data that our customers rely on to remediate risk. The Database Platform team owns the design, operation, and reliability of our core data layer — currently PostgreSQL as the primary store and Neo4j for the asset graph, with time-series and analytical stores on the roadmap as NodeZero's data volume and use cases grow. You will lead a team of ~8 engineers including a Principal Engineer, and you will build this team from a strong foundation into a fully staffed, world-class data platform organization.\n\n - Team Building \u0026 Culture: Hire, mentor, and grow the Database Platform team to full capacity. Establish database engineering norms and a culture of ownership for engineers who share responsibility for the most critical data layer in our stack.\n\n - Data Architecture: Partner with the Principal Engineer to define the technical direction for NodeZero's data platform — schema design standards, query patterns, migration strategies, and scalability principles.\n\n - Reliability \u0026 Operations: Own SLOs for database availability, query latency, and data integrity across production environments. Drive oncall maturity and runbook quality.\n\n - Data Modeling \u0026 Schema Governance: Establish schema review processes and data modeling standards. Ensure NodeZero's data model evolves cleanly as new pentest capabilities ship.\n\n - Cross-team Partnership: Collaborate with Data Ingestion, Security Research, and API Platform teams to align on data contracts, API design, and pipeline dependencies.\n\n - Act as a Product Owner: Translate data platform needs from Security Research and Product into a clear, prioritized engineering roadmap.\n\n \n\nWhat You'll Bring\n\nData Platform Leadership \u0026 Architecture\n\n - Demonstrated experience leading teams that design, scale, and operate relational databases (PostgreSQL preferred) and hybrid data stores (graph, time-series, or document) in production at scale.\n\n - Experience defining schema migration strategies for high-velocity production environments with zero-downtime requirements.\n\n - Experience with multi-tenant data architectures: customer data isolation, row-level security, and data residency concerns.\n\n - Strong understanding of database performance: query optimization, indexing strategies, EXPLAIN analysis, and connection pooling.\n\nTeam Building \u0026 Engineering Culture\n\n - Experience building or significantly growing an engineering team — including hiring, onboarding, and establishing engineering norms tailored for data-intensive systems.\n\n - Proven ability to define and instill engineering culture: rigorous schema review, data integrity standards, operational runbooks, and oncall rotation.\n\n - Drives high-impact architecture decisions rigorously — requires design documents, runs structured reviews, builds consensus across platform teams.\n\n - Able to partner effectively with a Principal Engineer and leverage their technical leadership without diminishing team ownership.\n\nTechnical Expertise\n\n - Proficient in Go, Python, or SQL (deep expertise).\n\n - Production experience with PostgreSQL at scale: partitioning, logical replication, pg_bouncer/pgpool, read replicas.\n\n - Experience with AWS data services: RDS/Aurora, DynamoDB, ElastiCache, or equivalent.\n\n - Familiarity with graph databases (Neo4j, AWS Neptune) or time-series stores (TimescaleDB, InfluxDB) is a strong plus.\n\n - Kubernetes and containerized database operations — stateful workload management.\n\n \n\nNice to Haves\n\n - Background in cybersecurity data, th","salary_min":242250,"salary_max":275000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","cloud","security","platform"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/6fe62d14-c5c1-40bb-86bb-823f5e3084c5/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T14:31:42.771Z","expires_at":"2026-11-13T16:56:49.918953Z","created_at":"2026-10-14T15:20:34.935504Z","updated_at":"2026-10-14T16:56:49.921937Z","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/987bedef-5362-4032-815c-ffe9781e13dc"},{"id":"83c4050f-83e8-4b87-965f-69179cf623b4","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Senior Backend Software Engineer, AI Observability \u0026 Evals Platform (NYC)  ","slug":"senior-backend-software-engineer-ai-observability-evals-platform-nyc-bd87c734","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n \n\n\nABOUT THE ROLE\n\nWe are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.\n\n \n\n\nWHAT YOU'LL DO\n\n - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.\n\n - Collaborate on architectural decisions to ensure systems are performant and maintainable.\n\n - Optimize storage and query performance for high-volume observability and evaluation data.\n\n - Ensure system reliability through strong testing, monitoring, and alerting practices.\n\n - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.\n\n - Create and maintain technical documentation, including system design and API references.\n\n - Work closely with full-stack engineers, product managers, and product designers on rolling out new features.\n   \n    \n\n\nWHAT YOU'LL BRING\n\n - 5+ years of professional experience in backend engineering working on highly complex products\n\n - Proficiency in one or more backend languages/frameworks, ideally Python or Go\n\n - Strong understanding of API design and building reliable data services.\n\n - Experience with high-throughput or mission-critical systems.\n\n - Demonstrated ability to optimize backend services for performance and reliability.\n\n - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)\n\n - Strong communication skills, with the ability to collaborate cross-functionally\n\n - Customer centricity and ownership mentality\n   \n    \n\nCompensation \n\nAnnual salary range: $180,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","salary_min":180000,"salary_max":240000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","agents","evaluation","backend"],"apply_url":"https://jobs.ashbyhq.com/langchain/20189c9d-f1af-4385-ae06-c3a6c7681ff0/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T04:01:55.653Z","expires_at":"2026-11-13T16:55:08.144623Z","created_at":"2026-10-14T15:18:57.775711Z","updated_at":"2026-10-14T16:55:08.147281Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/83c4050f-83e8-4b87-965f-69179cf623b4"},{"id":"b3d082b7-a64a-48f8-a843-65888ff2508a","company_id":"e5f95c41-e91d-48e8-9544-6c043c308c15","title":"Member of Technical Staff, Application Security","slug":"member-of-technical-staff-application-security-94935f09","description":"TL;DR: We're hiring an engineer who builds security into a complex AI-native product, not one who audits it from the outside. You write real code, ship real fixes, and understand how systems are built well enough to know exactly how they break.\n\n\n\nBACKGROUND\n\nAs AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers.\n\nOur platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours.\n\nWhere it's going: every interview feeds a human preference model, exposed to the world through the Human API. AI agents will call Listen from Slack, Linear, IDEs, and coding agents to ask what humans actually want. The trust people place in that signal is everything, and security is how we earn it.\n\n\n\nCOMPANY HIGHLIGHTS\n\n - World-Class Team: Founded by serial entrepreneurs, Alfred (Bemlo, YC W22) and Florian (IOI medalist, ICPC World Finalist), and built with talent from Google, Meta, Tesla, Amazon, Jane Street, and X, alongside Bain, Goldman Sachs, McKinsey, and Sequoia-backed startups like Applied Intuition, Scale AI, and Rippling. Over 30% of our team are former founders.\n\n - Hypergrowth: Since launching, Listen has grown annualized revenue 15x and completed over 2 million interviews, backed by $100M in total funding led by Ribbit Capital, with Sequoia, Conviction, and Pear VC participating.\n\n - Traction: Already serving 15% of Fortune 100s, with enterprise wins and expansions across Anthropic, Microsoft, Nestlé, Perplexity, Sweetgreen, and more.\n\n\n\nWHAT YOU'LL WORK ON\n\n - Securing the Database of Humanity. We hold voice, face, and device-linked profiles for millions of people. You'll help design the protections that data deserves: encryption, access boundaries, retention, and abuse resistance, built into the product rather than bolted on.\n\n - Multi-Tenant Isolation. ListenLabs staff, customer admins, and study participants all touch the platform with very different privileges. You'll make sure the boundaries between tenants, roles, and studies hold up, and you'll find the places where they don't before anyone else does.\n\n - AI-Native Attack Surface. Our interviewer, Study Composer, and Research Agent all process untrusted human input and take actions. You'll threat-model prompt injection, data exfiltration through model outputs, tool and agent permissions, and the new failure modes that appear when LLMs sit inside the trust boundary.\n\n - Securing the Human API. As we embed Listen into Slack, Linear, IDEs, and coding agents, we're building authentication, authorization, and API surfaces for programmatic and agentic callers. You'll help get those designs right from the first version.\n\n - Security Engineering Platform. You'll build the paved road: secure-by-default libraries and patterns, SAST/DAST/SCA and secrets scanning wired into CI, dependency and supply chain hygiene, and fast feedback so engineers can ship quickly without shipping vulnerabilities.\n\n - Design and Code Review. You'll review architecture and pull requests alongside the engineers who wrote them, and you'll often write the fix yourself.\n\n\n\nWHO YOU ARE\n\n - You're an engineer first. You're comfortable in a modern backend stack (we use TypeScript and Terraform), you can read and write production code, and you can hold your own in a code review with product engineers. Junior-level or better development skills are the floor, and the engineering mindset matters more than any single language.\n\n - You understand how things are built, and how they break. You know the OWASP Top 10 as failure patterns of real design decisions, not a checklist. You can explain why an authorization bug happens, not just that it does. You think in trust boundaries, threat models, and blast radius.\n\n - You build the fix, not just the finding. You're not a security analyst writing tickets, and you're not a pen tester delivering a report. You close the loop by shipping the guardrail, the library, the pipeline check, or the patch.\n\n - You have real depth in application security fundamentals: authentication and authorization (OAuth/OIDC, sessions, RBAC), cloud and infrastructure security basics, secrets management, secure API design, and common vulnerability classes across web and backend systems.\n\n - You're curious about AI security. You're excited to learn how LLM systems fail and to help define best practices in a field that's still being written. Prior LLM security experience is a plus, not a requirement.\n\n - You care about getting things right. Moving fast is essential, but a 100% solution is much more powerful than an 80% one. When something breaks, you go to root cause.\n\n - You communicate","salary_min":180000,"salary_max":300000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["api-design","agents","security","llm"],"apply_url":"https://jobs.ashbyhq.com/listenlabs/06e6a358-e383-4d53-9ec1-7906ea15b0fe/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-07T23:13:23.239Z","expires_at":"2026-11-13T16:58:47.881195Z","created_at":"2026-10-14T15:22:28.782089Z","updated_at":"2026-10-14T16:58:47.884426Z","company_name":"Listen Labs","company_slug":"listen-labs","company_logo_url":"https://www.google.com/s2/favicons?domain=listenlabs.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b3d082b7-a64a-48f8-a843-65888ff2508a"}],"page":1,"per_page":20,"total":484,"total_is_exact":true,"total_pages":25}