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LangChain is seeking a Deployed Engineer to work directly with U.S. Government customers—including the Department of Defense, Civilian Agencies, and the Intelligence Community—who are building and operating AI agents in mission-critical environments.
You'll co-architect and co-build production AI agents with federal engineering teams and system integrators, owning the technical win in federal pre-sales engagements by designing secure proofs-of-concept and supporting RFI/RFP technical responses. Your responsibilities include designing architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST standards), helping agencies deploy and operate agent-based applications such as mission support copilots and intelligence analysis agents, and advising customers post-award on architecture, scalability, observability, and long-term roadmap decisions.
You'll deliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences, partner with security teams to navigate ATO processes and accreditation pathways, and surface field feedback from federal use cases to contribute reusable patterns and secure deployment guides. Occasionally you'll contribute code upstream when it meaningfully improves federal customer outcomes.
This is a hands-on, highly technical role at the intersection of engineering, product, security, and go-to-market. You'll shape how LangChain is adopted across classified and unclassified environments while ensuring alignment with federal compliance requirements and feeding mission-driven insights back into the platform.
Required: 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, or product engineering), ideally supporting federal or regulated customers. Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators is essential. You'll need strong Python and JavaScript fundamentals with deep systems thinking, experience designing agent-based or LLM-powered systems beyond simple API calls (including multi-step workflows, orchestration, guardrails, and failure handling), familiarity with secure cloud environments (AWS GovCloud, Azure Government), and comfort operating in regulated environments with security, compliance, and documentation requirements.
About LangChain
AI / Data / Infrastructure — developer platform and framework for building LLM applications and agents.
