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LangChain

Builds open-source tools for making AI agents

Deployed Engineer - Federal

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeWashington, DC, USARemote

About the Job

Requirements

  • Must have an active or prior U.S. security clearance (Secret or TS/SCI).
  • At least 3 years in a relevant technical role such as software engineering, customer engineering, solutions engineering, or product engineering, ideally supporting federal or regulated customers.
  • Experience working with the Department of Defense, civilian agencies, the Intelligence Community, or federal system integrators.
  • Strong Python and JavaScript fundamentals and systems thinking.
  • Experience designing agent-based or large language model-powered systems beyond simple application programming interface calls, including multi-step workflows, orchestration, guardrails, and failure handling.
  • Familiarity with secure cloud environments such as AWS GovCloud or Azure Government.
  • Comfort 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 across engineering and program leadership.
  • Take responsibility for mission outcomes, not only recommendations.
  • Comfort operating in ambiguity and taking action.
  • Excitement about running AI agents in production federal 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 proof-of-concepts, supporting request for information and request for proposal technical responses, and guiding technical evaluations.
  • Design architectures that meet federal security and compliance requirements, including FedRAMP, DoD Impact Levels 2–6, and NIST.
  • 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 demonstrations, workshops, and enablement sessions tailored to government developer and operator audiences.
  • Partner with security teams to navigate Authority to Operate processes and accreditation pathways.
  • Surface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code that scale across agencies.
  • Occasionally contribute code upstream when it meaningfully improves federal customer outcomes.

Desired Qualifications

  • Experience deploying AI systems in classified or air-gapped environments.
  • Familiarity with FedRAMP authorization processes or DoD Impact Levels 2–6.
  • Experience with large language model 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.
  • Production experience with LangChain, LangGraph, or similar agent frameworks.

About the Company

LangChain

Builds open-source tools for making AI agents

LangChain makes free, open-source code libraries and a paid platform that software teams use to build and run AI agents, programs that use large language models to plan and finish tasks on their own. Its first library came out in October 2022, a month before ChatGPT, and in 2023 GitHub listed it among the open-source projects with the most contributors. Developers write agents with its LangChain, LangGraph, and Deep Agents libraries, which connect AI models to company data and software tools. Companies then pay for LangSmith, a platform that records each step an agent takes, scores its answers, and hosts finished agents. LangChain was founded in 2023 and is based in San Francisco.

Company size
201-500
Company stage
Series B
Total funding
$160M
Headquarters
San Francisco, CA
Founded
2023

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