Deployed Engineer (AI)

Location: Atlanta, GA, United States; on-site

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, including LangSmith, LangChain, LangGraph, Deep Agents, and LangSmith Engine.

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 proof-of-concepts, 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, trainings, and workshops for developer audiences.
• Contribute reusable patterns, cookbooks, example code, and occasional upstream improvements based on field feedback.

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 proof-of-concepts, architecture reviews, and technical evaluations.
• Experience deploying AI agents in production, especially with LangChain, LangGraph, or similar frameworks.
• Experience with cloud environments, containers, basic Kubernetes concepts, and operating production software.

Nice to have

• Experience in a startup or scale-up.
• Experience with LLM evaluation, observability, or guardrails.

Culture & Benefits

• Hands-on work at the intersection of engineering, product, and go-to-market.
• Direct collaboration with customer engineers across pre-sales and post-deployment work.
• Medical, dental, and vision coverage.
• Flexible vacation and a 401(k) plan.
• Meals on in-office days in the US.
• Compensation includes base salary, variable compensation where relevant, equity, benefits, and perks.

Hiring process

• Interview discussions assess impact, technical craft, leadership, and communication.
• Compensation scope and tracking are discussed before the offer stage.