LangChain

Deployed Engineer (NYC)

LangChain
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6 months ago
New York, NY, USAMid Level
H1B sponsor

Base Salary

$150k - $250k/yr

Responsibilities

  • Co-architect and co-build production AI agents with customer engineering teams.
  • Own the technical win in pre-sales by designing proofs-of-concept, answering deep technical questions, and guiding evaluations.
  • Help customers deploy and operate conversational agents, research agents, and multi-step workflows.
  • Advise customers after sale on architecture, best practices, and roadmap-level decisions.
  • Run technical demos, trainings, and workshops for developer audiences.
  • Surface field feedback and contribute reusable patterns, cookbooks, and example code.

Requirements

  • At least 3 years of experience in a relevant technical role such as software engineering, customer engineering, solutions engineering, founding engineering, or product engineering.
  • Strong Python, JavaScript, and systems fundamentals.
  • Experience designing agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling.
  • Comfort working directly with customers during proofs-of-concept, architecture reviews, and technical evaluations.
  • Ability to explain technical tradeoffs clearly and build trust with developer audiences.
  • Preferred experience deploying AI agents in production using LangChain, LangGraph, or similar frameworks.
  • Preferred experience with LLM evaluation, observability, or guardrails.
  • Preferred experience with AWS, GCP, or Azure, containers, and basic Kubernetes concepts.
  • Experience shipping and operating production software under real-world constraints is preferred.

Benefits

  • Medical, dental, and vision coverage
  • Flexible vacation
  • 401(k) plan
  • Meals on in-office days in the US
LangChain

About LangChain

201-500 employees

LangChain builds open-source frameworks and a commercial platform for developing, evaluating, deploying, and operating LLM-powered agents and applications. Its LangSmith suite provides observability, testing, deployment, and governance for enterprise AI workloads; customers include Nvidia, LinkedIn, Workday, and Bridgewater. Privately held and headquartered in San Francisco, the company was founded in 2022.

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