3 months ago
Responsibilities
- Co-architect and co-build production AI agents with customer engineering teams.
- Own the technical win in pre-sales through POCs, technical evaluations, and deep technical guidance.
- Help customers deploy and operate conversational agents, research agents, and multi-step workflows.
- Advise customers post-sale on architecture, best practices, and roadmap decisions.
- Run technical demos, trainings, and workshops for developer audiences.
- Surface field feedback and contribute reusable patterns, cookbooks, example code, and occasional upstream code.
- Travel to customers up to 40% of the time.
Requirements
- 6+ 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 involving multi-step workflows, orchestration, and failure handling.
- Comfort working directly with customers during POCs, architecture reviews, and technical evaluations.
- Ability to explain technical tradeoffs clearly and build trust with developer audiences.
- Experience deploying AI agents in production, particularly with LangChain, LangGraph, or similar frameworks, is preferred.
- Experience with LLM evaluation, observability, guardrails, cloud environments, containers, and basic Kubernetes concepts is preferred.
- Experience shipping and operating production software under real-world constraints is preferred.
Benefits
- Hybrid in-office role in Chicago, Illinois.
- Travel to customers up to 40% of the time.
- Medical, dental, and vision coverage.
- Flexible vacation.
- 401(k) plan.
- Meals on in-office days in the US.
Categories
Forward Deployed
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.