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 through secure POCs, RFI/RFP technical responses, and technical evaluations.
- Design architectures that satisfy federal security and compliance requirements, including FedRAMP, DoD IL2–IL6, and NIST.
- Help agencies deploy and operate agent applications for mission support, intelligence analysis, research automation, and operational workflows.
- Advise customers after award on architecture, scalability, observability, evaluation, and roadmap decisions.
- Deliver technical demonstrations, workshops, and enablement sessions for government developers and operators.
- Partner with security teams on ATO processes and accreditation pathways.
- Capture federal field feedback and contribute reusable patterns, secure deployment guides, example code, and occasional upstream code improvements.
Requirements
- At least 3 years of experience in a relevant technical role such as software engineering, customer engineering, solutions engineering, or product engineering.
- Experience supporting the Department of Defense, civilian agencies, the Intelligence Community, or federal system integrators.
- Strong Python and JavaScript fundamentals with deep systems thinking.
- Experience designing agent-based or LLM-powered systems involving multi-step workflows, orchestration, guardrails, and failure handling.
- Familiarity with secure cloud environments such as AWS GovCloud and Azure Government.
- Experience operating in regulated environments with security, compliance, and documentation requirements.
- Experience supporting technical evaluations, architecture reviews, and competitive down-select processes.
- Ability to explain technical tradeoffs to government stakeholders and build trust with engineering and program leadership.
- Active or prior U.S. security clearance, classified or air-gapped AI deployments, FedRAMP or DoD Impact Level experience, LLM evaluation or observability, Kubernetes, secure networking, federal system integrators, or production LangChain/LangGraph experience are preferred.
Benefits
- Medical, dental, and vision coverage.
- Flexible vacation, a 401(k) plan, and life insurance.
- Meals on in-office days in the United States.
- Competitive compensation including variable compensation where relevant, equity, benefits, and perks.
- Benefits for EU, UK, and APAC employees are aligned with regional norms and regulations.
Tech Stack
Categories
About LangChain
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. What began as widely adopted open-source tools has grown into a platform for building, evaluating, deploying, and operating agents at scale. LangChain provides the agent engineering platform and open source frameworks developers need to ship reliable agents fast. LangSmith offers observability, evaluation, and deployment for rapid iteration. Our open source frameworks, LangGraph, LangChain, and Deep Agents, help developers build agents with speed and granular control. LangSmith is trusted by leading AI teams at Zip, Vanta, Klarna, Workday, Linkedin, Cloudflare, and more.