2 months ago
Responsibilities
- Partner with account executives to scope evaluations, conduct technical discovery, and design proofs of concept based on customer use cases.
- 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, technical trainings, and workshops for developer audiences.
- Advise customers after purchase on architecture, best practices, and roadmap decisions while identifying expansion opportunities.
- Share field feedback with product teams and create reusable proofs-of-concept assets, cookbooks, and example code.
- Contribute code upstream when it improves customer outcomes.
Requirements
- At least 6 years of experience in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering.
- Experience owning the technical thread of a sales cycle, including discovery, proofs of concept, architecture reviews, and competitive evaluations.
- Ability to explain technical tradeoffs clearly, build trust with developer audiences, and translate technical findings into customer decisions.
- Track record of taking responsibility for outcomes rather than only making recommendations.
- Genuine interest in operating AI agents in production rather than only building demos.
- Preferred experience deploying AI agents in production using LangChain, LangGraph, or similar frameworks.
- Preferred experience carrying a technical number or working against pipeline with a sales team.
- Preferred experience with LLM evaluation, observability, or guardrails.
- Preferred experience with AWS, GCP, Azure, containers, and basic Kubernetes concepts.
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.