Deployed Engineer (Federal)

The role

You will co-architect and build production AI agents with federal engineering teams and system integrators. You will design secure architectures and help agencies deploy and operate agent-based applications in regulated environments.

What you will do

• 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 and supporting RFI/RFP responses
• Design architectures that meet federal security and compliance requirements
• Help agencies deploy and operate agent-based applications
• Advise customers post-award on architecture, scalability, observability, evaluation, and roadmap decisions
• Deliver technical demos, workshops, and enablement sessions for government audiences
• Partner with security teams to navigate ATO processes and accreditation pathways
• Surface field feedback from federal use cases to contribute reusable patterns and code
• Occasionally contribute code upstream

Required qualifications

• Must have 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
• Bias toward action and comfort operating in ambiguity

Nice to have

• 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

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Flexible vacation
• 401(k) plan
• Life insurance
• Meals on in-office days in the US

About the company

LangChain builds the foundation for agent engineering, helping developers move from prototypes to production-ready AI agents. The company offers a platform for building, evaluating, deploying, and operating agents at scale.