Responsibilities
- Partner with account executives to scope evaluations, conduct technical discovery, and design use-case-specific POCs.
- Serve as the technical authority during architecture reviews, security and infrastructure discussions, and competitive evaluations.
- Co-architect and co-build production AI agents with customer engineering teams from prototype through rollout.
- Help customers deploy and operate conversational agents, research agents, and multi-step workflows.
- Run demos, trainings, and workshops for developer audiences.
- Advise customers after sale on architecture, best practices, and roadmap decisions.
- Identify expansion opportunities through customer conversations.
- Share field feedback with product and create reusable POC assets, cookbooks, and example code.
- Contribute code upstream when it improves customer outcomes.
Requirements
- 6+ years of experience in solutions engineering, sales engineering, customer engineering, software engineering, founding, or product engineering.
- Experience owning the technical thread of sales cycles, including discovery, POCs, architecture reviews, and competitive evaluations.
- Ability to explain technical tradeoffs clearly, build trust with developer audiences, and support customer decisions.
- Track record of taking responsibility for outcomes rather than only making recommendations.
- Genuine interest in operating AI agents in production.
- Experience deploying AI agents using LangChain, LangGraph, or similar frameworks is preferred.
- Experience with LLM evaluation, observability, or guardrails is preferred.
- Experience with AWS, GCP, Azure, containers, and basic Kubernetes concepts is preferred.
- Experience carrying a technical number or working alongside a sales team on pipeline is preferred.
Benefits
- Medical, dental, and vision coverage.
- Flexible vacation.
- 401(k) plan.
- Meals on in-office days in the US.
Tech Stack
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.