2 months ago
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
Solutions Engineering
About LangChain
LangChain builds open-source frameworks and a commercial platform for developing, evaluating, deploying, and operating LLM-powered agents and applications. Its LangSmith suite provides observability, testing, deployment, and governance for enterprise AI workloads; customers include Nvidia, LinkedIn, Workday, and Bridgewater. Privately held and headquartered in San Francisco, the company was founded in 2022.