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Deployed Engineer (Early Career-NYC)

LangChain· Deployed Engineering
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New York, NY$160k - $185kFull-timePosted 2mo ago

About the role

Hands-on, technical role working with customers to deploy and operate AI agents in production, co-design architectures, and guide product direction based on field feedback.

Responsibilities

  • Co-architect and co-build production AI agents with customer engineering teams and customers
  • Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
  • Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
  • Advise customers post-sale on architecture, best practices, and roadmap-level decisions
  • Build and run tailored demos, trainings, and workshops for developer audiences
  • Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
  • Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities
  • Occasionally contribute code upstream when it meaningfully improves customer outcomes
  • This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement

Qualifications

  • 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company
  • Strong Python, JavaScript and systems fundamentals
  • Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
  • Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams
  • Excited to work directly with customers during POCs, architecture reviews, and technical evaluations
  • Take responsibility for outcomes, not just recommendations
  • Have a bias toward action and enjoy figuring things out as you go
  • Are excited about shipping AI agents in production

Skills

Required:PythonJavaScriptAgent-based / LLM-powered applicationsTechnical communicationCustomer-facing engagement

Benefits

  • Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more
Last updated Oct 14, 2026. Interested? Apply on the company site.

About LangChain

Engineer reliable agents

LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.

AI agentsagent engineeringbrex-fastest-growing-2025liquid-ai-recruiting-targetopen source frameworksplatform
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