# Deployed Engineer (Federal)

**Company:** [LangChain](https://hotfix.jobs/companies/langchain)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $150k – $250k/yr
**Experience:** 3+ years
**Skills:** Python, JavaScript, LangChain, LangGraph, Aws Govcloud, Azure Government, Kubernetes, Containers, FedRAMP, Nist, Llm Evaluation, Observability, Guardrails, Secure Networking, Rfi/Rfp
**Posted:** 2026-08-24

> This hands-on technical role helps U.S. government customers design, deploy, and operate secure AI-agent systems in regulated and mission-critical environments. The engineer leads federal technical evaluations and pre-sales engagements while advising on architecture, compliance, deployment, and production operations.

## Job Description

## 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 proofs of concept, supporting RFI/RFP technical responses, and guiding technical evaluations.
- Design architectures that meet federal security and compliance requirements, including FedRAMP, DoD IL2–IL6, 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 demos, workshops, and enablement sessions for government developer and operator audiences.
- Partner with security teams on ATO processes and accreditation pathways.
- Surface field feedback and contribute reusable patterns, secure deployment guides, and example code.
- Occasionally contribute code upstream when it improves federal customer outcomes.

## Requirements
- 3+ years in a relevant technical role, such as software engineering, customer engineering, solutions engineering, or product engineering.
- Experience working with the Department of Defense, 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 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 clearly to government stakeholders and build trust across engineering and program leadership.
- Ownership mindset, bias toward action, and comfort operating in ambiguity.

## Nice-to-haves
- Active or prior U.S. security clearance, including Secret or TS/SCI.
- 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 such as Booz Allen, SAIC, or Leidos.
- Production experience with LangChain, LangGraph, or similar agent frameworks.

## Compensation & Benefits
- Annual OTE range: **$150,000–$250,000 USD**.
- Compensation includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
- Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, life insurance, and meals on in-office days in the US.

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