Base Salary
$160k - $180k/yr
Responsibilities
- Design and deploy production-grade agents using LangGraph and LangSmith for technical support, integration troubleshooting, and onboarding.
- Analyze customer friction and build self-service AI systems that reduce support volume while improving customer experience.
- Own the technical roadmap, architecture, product ownership, and full lifecycle of customer-support systems.
- Identify gaps in LangChain and LangGraph through dogfooding and contribute improvements to the open-source ecosystem.
- Build AI-native onboarding workflows that automate documentation retrieval and code generation for enterprise customers.
Requirements
- Typically 3+ years of software engineering experience.
- At least 1 year of experience shipping LLM systems in production.
- Deep understanding of prompting, retrieval/RAG, cognitive architectures, and agentic loops.
- Strong coding skills in Python or TypeScript, ideally both, with the ability to build end-to-end applications.
- Experience building with LangChain or LangGraph is likely expected.
- Ability to identify high-impact problems, work through ambiguity, and drive solutions autonomously.
- Ability to translate customer technical pain points into scalable system architectures.
- Experience with LangSmith for evaluation and monitoring is a plus.
- Experience building or maintaining open-source projects is a plus.
- Background in technical consulting, solutions engineering, or high-growth GTM teams is a plus.
Benefits
- Medical, dental, and vision coverage.
- Flexible vacation.
- 401(k) plan.
- Life insurance.
- Meals on in-office days in the US.
- Meaningful equity and other perks.
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.