Responsibilities
- 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 post-sale on architecture, best practices, and roadmap-level decisions.
- Run technical demos, trainings, and workshops for developer audiences.
- Surface field feedback and contribute reusable patterns, cookbooks, and example code.
- Occasionally contribute code upstream when it improves customer outcomes.
Requirements
- At least 3 years of experience in a relevant technical role such as 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 beyond simple API calls, including multi-step workflows, orchestration, and failure handling.
- Comfort working directly with customers during proofs of concept, architecture reviews, and technical evaluations.
- Ability to explain technical tradeoffs clearly and build trust with developer audiences.
- Experience deploying AI agents in production, especially with LangChain, LangGraph, or similar frameworks, is preferred.
- Experience with LLM evaluation, observability, or guardrails is preferred.
- Experience with AWS, GCP, or Azure, containers, and basic Kubernetes concepts is preferred.
- Experience shipping and operating production software under real-world constraints is preferred.
Benefits
- Medical, dental, and vision coverage
- Flexible vacation
- 401(k) plan
- Meals on in-office days in the US
- Locally competitive benefits for team members in the EU, UK, and APAC
Categories
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. What began as widely adopted open-source tools has grown into a platform for building, evaluating, deploying, and operating agents at scale. LangChain provides the agent engineering platform and open source frameworks developers need to ship reliable agents fast. LangSmith offers observability, evaluation, and deployment for rapid iteration. Our open source frameworks, LangGraph, LangChain, and Deep Agents, help developers build agents with speed and granular control. LangSmith is trusted by leading AI teams at Zip, Vanta, Klarna, Workday, Linkedin, Cloudflare, and more.