Base Salary
$160k - $180k/yr
Responsibilities
- Design and deploy production-grade agents for technical support and onboarding.
- Analyze customer friction points to build self-service AI systems.
- Act as the product owner, identifying opportunities for improvement.
- Provide feedback to the product team based on customer interactions.
- Develop AI-native onboarding experiences for enterprise customers.
Requirements
- Deep understanding of the LLM stack and experience with LangChain or LangGraph.
- Strong software engineering skills with at least 3 years of experience.
- Self-directed with a founder mentality, able to navigate ambiguity.
- Proficient in Python or TypeScript, with full-stack development capability.
- Customer-centric mindset, able to translate technical pain points into solutions.
Benefits
- Medical, dental, and vision coverage.
- Flexible vacation policy.
- 401(k) plan.
- Meals provided 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.