Deployed Engineer (Federal)

About the Role

As a Deployed Engineer on the LangChain Federal team, you will work directly with U.S. Government customers—including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC)—who are building and operating AI agents in mission-critical environments.

Deployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will help defense, civilian, and intelligence customers design, deploy, and operate production AI agents in secure, regulated, and high-stakes environments.

Responsibilities

• 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.

Qualifications

Required

• 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), ideally supporting federal or regulated customers.
• Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators.
• 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, 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 and build trust across engineering and program leadership.
• Ownership mindset and bias toward action.

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.