Level

LangChain

Deployed Engineer (Federal)

LangChain is hiring a Deployed Engineer (Federal) for a remote role open to applicants in United States. It pays $185k-$300k a year and Level rates it ; you can apply on LangChain.

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include LangGraph, Replit and Clay.
  • Level classifies it as a mid-level role.
  • Level lists 103 other open roles at LangChain.

AI in this role

Build and deploy production-ready AI agents and platforms directly with U.S. Government entities.

langgraphreplitclaylangsmith
ai-agentsai-evaluationdeploymentfederal-engineering
About Us

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. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.

About Us

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. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.

About the Team

The LangChain Deployed Engineering - Federal team works 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.

This is a hands-on, highly technical team that partners closely with government engineers, technical program managers, and system integrators across the full lifecycle — from pre-award technical shaping and evaluations to post-deployment advisory work in secure environments. The focus is on achieving the technical win, architecting secure and compliant agent systems, and enabling agencies to operate AI agents reliably at scale using the LangChain suite.

Deployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will shape how LangChain is adopted across classified and unclassified environments, ensuring alignment with federal compliance requirements while feeding mission-driven insights back into the platform.

About the Role

As a Deployed Engineer, you’ll work on some of the hardest problems in applied AI — not demos or experimental research, but production systems supporting real-world missions.

You’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape.

You will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor.

What You’ll Do

  • 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 that scale across agencies

  • Occasionally contribute code upstream when it meaningfully improves federal customer outcomes

What You’ll Bring

  • Must have zctive 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 — you take responsibility for mission outcomes, not just recommendations

  • Bias toward action and comfort operating in ambiguity

  • Excitement about running AI agents in real-world, production federal environments — not just building demos

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

Compensation & Benefits

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

Annual OTE range: $185,000–$300,000 USD

Compensation Philosophy:

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.

We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

Benefits

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

How we rate this

Deployed Engineer (Federal) at LangChain rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI EvaluationDeploymentFederal EngineeringLangGraphReplitClayLangsmith

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. How do you decide that one model's output is better than another's for a given task?
  3. Tell me about a project where deployment was part of your work. What did you do?
  4. Tell me about a project where federal engineering was part of your work. What did you do?
  5. Walk me through how you've used LangGraph in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI agents, AI Evaluation, Deployment, Federal Engineering, and LangGraph. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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