Deployed Engineer – Federal

Likely ghost job

🕒 March 4

☕ Washington – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 67%

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Logo of LangChain

LangChain

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 $25M Series A on 2024-02

Artificial Intelligence • B2B • SaaS

LangChain is a composable framework designed to assist developers throughout the entire lifecycle of Large Language Model (LLM) applications. Their suite of products, including LangGraph and LangSmith, offers tools for building, deploying, and managing applications that can reason and operate at scale. With a focus on operational efficiency and improved performance, LangChain supports a wide range of industries through its innovative offerings.

📋 Description

• 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 meeting 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 to navigate ATO processes and accreditation pathways • Surface field feedback from federal use cases 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 (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 • 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 • 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 • Ownership mindset and comfort operating in ambiguity • Active or prior U.S. security clearance is a nice-to-have • Experience deploying AI systems in classified or air-gapped environments is a nice-to-have • Familiarity with FedRAMP authorization processes or DoD Impact Levels (IL2–IL6) is a nice-to-have • Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings is a nice-to-have • Hands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures is a nice-to-have • Experience working alongside federal system integrators is a nice-to-have • Production experience with LangChain, LangGraph, or similar agent frameworks is a nice-to-have

🏖️ Benefits

• Variable compensation for relevant roles • Meaningful equity • Medical coverage • Dental coverage • Vision coverage • Flexible vacation • 401(k) plan • Life insurance • Meals on in-office days in the US

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