{"schemaVersion":"jobsearcher.job.v1","id":"be8aa98cc419bfbfb2c36ced","url":"https://jobsearcher.com/jobs/be8aa98cc419bfbfb2c36ced","canonicalUrl":"https://jobsearcher.com/jobs/be8aa98cc419bfbfb2c36ced","title":"Deployed Engineer (Seattle)","description":"About the Team\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands‑on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre‑sales evaluations to post‑deployment advisory work. The focus is on achieving the technical win, co‑designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go‑to‑market , shaping how LangChain is adopted in the field and feeding real‑world insights back into the platform.\n\nAbout the Role\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production . The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\nWhat You’ll Do\n\nCo‑architect and co‑build production AI agents with customer engineering teams\n\nOwn the technical win in pre‑sales by designing POCs, answering deep technical questions, and guiding evaluations\n\nHelp customers deploy and operate agent‑based applications such as conversational agents, research agents, and multi‑step workflows\n\nAdvise customers post‑sale on architecture, best practices, and roadmap‑level decisions\n\nRun technical demos, trainings, and workshops for developer audiences\n\nSurface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\nOccasionally contribute code upstream when it meaningfully improves customer outcomes\n\nWhat You’ll Bring\n\n5+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale‑up\n\nStrong Python, JavaScript and systems fundamentals\n\nHave designed agent‑based or LLM‑powered applications beyond simple API calls, including multi‑step workflows, orchestration, and failure handling\n\nAre comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\nCan explain technical tradeoffs clearly and build trust with developer audiences\n\nTake responsibility for outcomes , not just recommendations\n\nHave a bias toward action and enjoy figuring things out as you go\n\nAre excited about operating AI agents in production , not just building demos\n\nNice to Have’s:\n\nYou’ve deployed AI agents in production , especially using LangChain, LangGraph , or similar frameworks\n\nWorked with LLM evaluation, observability, or guardrails\n\nHave experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\nHave shipped and operated production software and are comfortable owning systems under real‑world constraints\n\nCompensation\nAnnual OTE range: $185,000–$315,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\nBenefits\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in‑office days in the US and more.\n\n#J-18808-Ljbffr","company":"Startups","rawCompany":"startups","city":"Seattle","state":"WA","isRemote":false,"isActive":true,"createdAt":"2026-06-20T05:06:58.516Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Deployed Engineer (Seattle)","description":"About the Team\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands‑on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre‑sales evaluations to post‑deployment advisory work. The focus is on achieving the technical win, co‑designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go‑to‑market , shaping how LangChain is adopted in the field and feeding real‑world insights back into the platform.\n\nAbout the Role\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production . The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\nWhat You’ll Do\n\nCo‑architect and co‑build production AI agents with customer engineering teams\n\nOwn the technical win in pre‑sales by designing POCs, answering deep technical questions, and guiding evaluations\n\nHelp customers deploy and operate agent‑based applications such as conversational agents, research agents, and multi‑step workflows\n\nAdvise customers post‑sale on architecture, best practices, and roadmap‑level decisions\n\nRun technical demos, trainings, and workshops for developer audiences\n\nSurface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\nOccasionally contribute code upstream when it meaningfully improves customer outcomes\n\nWhat You’ll Bring\n\n5+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale‑up\n\nStrong Python, JavaScript and systems fundamentals\n\nHave designed agent‑based or LLM‑powered applications beyond simple API calls, including multi‑step workflows, orchestration, and failure handling\n\nAre comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\nCan explain technical tradeoffs clearly and build trust with developer audiences\n\nTake responsibility for outcomes , not just recommendations\n\nHave a bias toward action and enjoy figuring things out as you go\n\nAre excited about operating AI agents in production , not just building demos\n\nNice to Have’s:\n\nYou’ve deployed AI agents in production , especially using LangChain, LangGraph , or similar frameworks\n\nWorked with LLM evaluation, observability, or guardrails\n\nHave experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\nHave shipped and operated production software and are comfortable owning systems under real‑world constraints\n\nCompensation\nAnnual OTE range: $185,000–$315,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\nBenefits\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in‑office days in the US and more.\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T05:06:58.516Z","dateModified":"2026-06-20T05:06:58.516Z","hiringOrganization":{"@type":"Organization","name":"Startups","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"be8aa98cc419bfbfb2c36ced"},"url":"https://jobsearcher.com/jobs/be8aa98cc419bfbfb2c36ced"}}