Deployed Engineer – Federal

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🕒 Março 4

☕ Washington – Remoto

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⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷🏻‍♀️ Engenheiro

👻 Score fantasma 68%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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LangChain

11 - 50 funcionários

🤖 Inteligência Artificial

🤝 B2B

☁️ SaaS

💰 $25.000.000 Series A em 2024-02

Artificial Intelligence • B2B • SaaS

LangChain é um framework componível projetado para auxiliar desenvolvedores em todo o ciclo de vida de aplicações com Large Language Models (LLMs). Sua suíte de produtos, incluindo LangGraph e LangSmith, oferece ferramentas para criar, implantar e gerenciar aplicações capazes de raciocinar e operar em escala. Com foco em eficiência operacional e desempenho aprimorado, a LangChain atende a uma ampla variedade de setores por meio de soluções inovadoras.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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