Deployed Engineer (AI)

Location: Boston, MA — on-site

Annual OTE: $185,000–$300,000 USD

Company

LangChain builds open-source frameworks and a platform for building, evaluating, deploying, and operating AI agents at scale.

What you will do

• 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 technical questions, and guiding evaluations.
• Help customers deploy and operate conversational agents, research agents, and multi-step workflows.
• Advise customers on architecture, best practices, and roadmap decisions after deployment.
• Run technical demos, training sessions, and workshops for developer audiences.
• Share field feedback through reusable patterns, cookbooks, example code, and occasional upstream contributions.

Requirements

• 3+ years of experience in 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 with multi-step workflows, orchestration, and failure handling.
• Experience working directly with customers during proofs of concept, architecture reviews, and technical evaluations.
• Ability to explain technical tradeoffs clearly, take ownership of outcomes, and operate production software.
• Experience with cloud environments such as AWS, GCP, or Azure, plus containers and basic Kubernetes concepts.

Nice to have

• Experience in a startup or scale-up.
• Production experience with LangChain, LangGraph, or similar frameworks.
• Experience with LLM evaluation, observability, or guardrails.

Culture & Benefits

• Hands-on work at the intersection of engineering, product, and go-to-market.
• Medical, dental, and vision coverage.
• Flexible vacation.
• 401(k) plan and meals on in-office days in the US.
• Compensation includes base salary, variable compensation where relevant, equity, benefits, and perks.

Hiring process

• Scope and compensation alignment are discussed during the interview process before the offer stage.
• The final offer reflects demonstrated impact, technical craft, leadership, and communication.