Deployed Engineer (Ai)

Location: Hybrid, in-office in Chicago, Illinois, United States; travel to customers up to 25% of the time

Annual OTE: $200,000–$300,000 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 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, trainings, and workshops for developer audiences.
• Contribute reusable patterns, cookbooks, example code, field feedback, and occasional upstream improvements.

Requirements

• 6+ 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, preferably with LangChain, LangGraph, or similar frameworks.
• Experience with LLM evaluation, observability or guardrails, cloud environments, containers, Kubernetes concepts, and production software operations.

Nice to have

• Experience in a startup or scale-up environment.
• Experience contributing code upstream to improve customer outcomes.

Culture & Benefits

• Hands-on work at the intersection of engineering, product, and go-to-market.
• Medical, dental, and vision coverage.
• Flexible vacation and a 401(k) plan.
• Meals on in-office days in the United States.
• Base salary, variable compensation for relevant roles, equity, benefits, and additional perks.

Hiring process

• Interview discussions assess impact, technical craft, leadership, and communication.
• Compensation alignment is discussed before the offer stage.