LangChain is looking to solve the problem of helping developers and agent builders learn how to build, evaluate, and continuously refine agents using LangSmith, by creating accessible and engaging educational content.
Requirements
- A technical background and domain expertise in applied AI (Machine Learning, LLMs etc).
- Strong working knowledge of generative AI concepts, agents, and agent evaluation.
- Familiarity with LangChain, LangSmith or similar LLM frameworks/tools is a strong plus.
- Experience with datasets to run experiments, analyze model performance, and iterate toward more reliable, higher-quality outcomes.
- Previous experience developing online asynchronous curriculum in the areas of GenAI, AI, machine learning, data science, robotics, or similar.
Responsibilities
- Collaborate with LangChain engineers to develop educational content that teaches agentic evaluation, monitoring and refinement using LangSmith, LangChain and LangGraph.
- Design curriculum and structured learning paths for our community of over 1 million developers and agent builders.
- Create and deliver content across multiple formats: online courses, video tutorials, webinars, live presentations at workshops, hackathons, meetups, and conferences
- Build and maintain example projects, code demos, and visuals to support educational content.
- Translate experimental applied AI code and internal agent evaluation techniques into crisp, developer-friendly learning materials.
Other
- A degree in Computer Science, Machine Learning, Math, Data Science, and/or equivalent industry experience
- 2+ years experience as a software engineer/developer who enjoys and excels at making technical concepts understandable.
- A clear, engaging communication style - both written and on camera.
- Experience designing and teaching technical content for developers (courses, workshops, or technical onboarding).
- Flexible vacation, a 401(k) plan, and life insurance
