Deployed Engineer (Federal)

Washington DC · USD 185,000-300,000 / year · 3+ years experience · Full-time · Remote · Posted Sep 30, 2026

At a glance

At 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.
With $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.
Today, 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.

The Deployed Engineer (Federal) works directly with U.S. Government customers, including the DoD, Civilian Agencies, and the Intelligence Community, to build and operate AI agents in mission-critical environments. This role sits at the intersection of engineering, product, security, and go-to-market, focusing on architecting secure, compliant, and scalable agent systems. You will support the full lifecycle of federal engagements, from pre-award technical shaping to post-deployment advisory work.

Co-architect and co-build production AI agents with federal engineering teams and system integrators
Own the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations
Design architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST, etc.)
Help agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows
Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions
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
Surface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code
Occasionally contribute code upstream when it meaningfully improves federal customer outcomes

Active or prior U.S. security clearance (Secret, TS/SCI)
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, product engineering)
Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators
Strong Python and JavaScript fundamentals
Experience designing agent-based or LLM-powered systems including multi-step workflows, orchestration, guardrails, and failure handling
Familiarity with secure cloud environments (AWS GovCloud, Azure Government, etc.)
Comfort operating in regulated environments with security, compliance, and documentation requirements
Experience supporting technical evaluations, architecture reviews, and competitive down-select processes
Ability to clearly explain technical tradeoffs to government stakeholders
Ownership mindset and bias toward action

Experience deploying AI systems in classified or air-gapped environments
Familiarity with FedRAMP authorization processes or DoD Impact Levels (IL2–IL6)
Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings
Hands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures
Experience working alongside federal system integrators (Booz Allen, SAIC, Leidos, etc.)
Production experience with LangChain, LangGraph, or similar agent frameworks