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Deployed Engineer (Boston)

LangChain

Boston, Ma · on site · full time

$185,000 - $300,000

About the Role

The Deployed Engineer works on some of the hardest problems in applied AI—building systems that real teams depend on in production. You will sit at the intersection of engineering, product, and go-to-market, co-designing agent architectures and helping customers operate agents reliably at scale using the LangChain suite.

What You’ll Do

  • Co-architect and co-build production AI agents with customer engineering teams
  • 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
  • Run technical demos, trainings, and workshops for developer audiences
  • Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
  • Occasionally contribute code upstream when it meaningfully improves customer outcomes

What You’ll Bring

  • 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
  • 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 POCs, architecture reviews, and technical evaluations
  • Ability to explain technical tradeoffs clearly and build trust with developer audiences
  • A sense of ownership for outcomes, not just recommendations
  • A bias toward action and excitement about operating AI agents in production

Nice to Haves

  • Deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
  • Experience with LLM evaluation, observability, or guardrails
  • Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
  • Experience shipping and operating production software under real-world constraints

Compensation & Benefits

  • Annual OTE range: $185,000–$300,000 USD (including base salary, variable compensation, and meaningful equity)
  • Medical, dental, and vision coverage
  • Flexible vacation
  • 401(k) plan
  • Meals on in-office days in the US

Benefits

Medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meaningful equity, perks, and meals on in-office days.