Deployed Engineer (AI)

Location: Remote, United States; Charlotte, NC

Annual OTE: $150,000–$250,000 USD

Company

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

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-level decisions after deployment.
• Run technical demos, training sessions, and workshops for developer audiences.
• Capture field feedback and contribute reusable patterns, cookbooks, example code, and targeted 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.
• Ability to explain technical tradeoffs clearly, build trust with developer audiences, and take ownership of outcomes.
• Experience deploying and operating production software in cloud environments, with containers and basic Kubernetes knowledge.

Nice to have

• Experience deploying AI agents in production with LangChain, LangGraph, or similar frameworks.
• Experience with LLM evaluation, observability, or guardrails.
• Experience working in a startup or scale-up environment.

Culture & Benefits

• Hands-on work across engineering, product, and go-to-market functions.
• Direct impact on how AI agents are built and operated in production.
• Medical, dental, and vision coverage.
• Flexible vacation and a 401(k) plan.
• Meals on in-office days in the United States.
• 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 process evaluates impact, technical craft, leadership, and communication.