Deployed Engineer (AI)

Location: Remote, Raleigh, NC / United States

Annual OTE range: $150,000–$250,000 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.
• Design proofs of concept, answer deep technical questions, and own the technical win during pre-sales 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, trainings, and workshops for developer audiences.
• Capture field feedback and contribute reusable patterns, cookbooks, example code, and upstream improvements.

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.
• Experience deploying AI agents in production, especially with LangChain, LangGraph, or similar frameworks.
• Experience with LLM evaluation, observability, or guardrails, plus cloud environments, containers, and basic Kubernetes concepts.

Nice to have

• Experience working in a startup or scale-up.
• Experience shipping and operating production software under real-world constraints.

Culture & Benefits

• Hands-on work across engineering, product, and go-to-market.
• Flexible vacation.
• Medical, dental, and vision coverage.
• 401(k) plan and meals on US in-office days.
• Compensation may include base salary, variable compensation, equity, benefits, and perks.
• EU, UK, and APAC team members receive locally competitive benefits aligned with regional regulations.

Hiring process

• Scope and compensation are assessed based on impact, technical craft, leadership, and communication during interviews.
• Compensation alignment is discussed before the offer stage.