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Jobs · Engineering · California

Deployed Engineer (Bay Area)

LangChain · San Francisco Bay Area · 2 wk ago
On-siteEngineering$165k–$315k/yrFull-time

About the role

You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.

Responsibilities

  • 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
  • Advises 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
  • Affiliate with LangChain's open-source community by contributing code upstream when it meaningfully improves customer outcomes

Requirements

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

Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling

Comfortable working directly with customers during POCs, architecture reviews, and technical evaluations

Can explain technical tradeoffs clearly and build trust with developer audiences

Take responsibility for outcomes, not just recommendations

A bias toward action and enjoy figuring things out as you go

Excited about operating AI agents in production, not just building demos

Qualifications

Nice to have:

  • You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
  • You've worked with LLM evaluation, observability, or guardrails
  • You have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
  • You've shipped and operated production software and are comfortable owning systems under real-world constraints

Skills

None specifically listed, but strong technical skills and experience in AI and software engineering are required.

Benefits

Annual OTE range: $165,000–$315,000 USD

Compensation Philosophy: Competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks

Actual compensation and offerings will vary based on role, level, and location

Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US, and more.

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