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$185,000 – $300,000
Listed on LangChain’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role supports U.S. government agencies in designing, deploying, and operating AI agent systems in secure, compliance-heavy environments. You'll work directly with defense and intelligence customers on production systems, handling everything from pre-sales technical architecture to post-deployment advisory, while navigating federal security requirements and compliance frameworks.
Our summary, not LangChain’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Active or prior U.S. security clearance (Secret, TS/SCI)
- 3+ years in software engineering, customer engineering, solutions engineering, or product engineering
- 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 with multi-step workflows, orchestration, guardrails, and failure handling
- Familiarity with secure cloud environments like AWS GovCloud or Azure Government
- Comfort operating in regulated environments with security, compliance, and documentation requirements
- Experience supporting technical evaluations, architecture reviews, and competitive selection processes
- Ability to explain technical tradeoffs clearly to government stakeholders
- Ownership mindset focused on mission outcomes
Nice to have
- Experience deploying AI systems in classified or air-gapped environments
- Familiarity with FedRAMP authorization processes or DoD Impact Levels
- Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings
- Production experience with AWS, Azure, containers, Kubernetes, or secure networking architectures
- Experience working with federal system integrators like Booz Allen, SAIC, or Leidos
- Production experience with LangChain, LangGraph, or similar agent frameworks