Developer Educator, Agentic AI

About LangChain:

At LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.

Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more.

About the role:

LangChain is looking for a Developer Educator to help developers and agent builders learn how to build with LangChain, LangGraph, and LangSmith. In this role, you’ll turn cutting-edge applied AI work into accessible, engaging educational content - from hands-on workshops and meetups to online courses and recorded video tutorials.

You will collaborate with our Applied AI and software engineers to create high-quality learning experiences that explain core concepts in Agentic AI, walk through real-world examples, and help external developers succeed with our tools. This is a hybrid role that blends technical software/ML experience with a passion for education, community building, and communication. You will also:

• Partner with LangChain engineers to develop educational content that teaches generative AI and agent-building concepts using LangChain, LangGraph, and LangSmith.

• Design curriculum and learning paths for our community of over 1 million developers and agent builders.

• Create and deliver content across multiple formats:

  • Online courses for LangChain Academy, video tutorials and 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 templates into crisp, developer-friendly learning materials.

How to be successful in the role:

• A technical background in software development, ML, or applied AI—comfortable building small apps or code samples.

• Previous experience developing online asynchronous curriculum in the areas of GenAI, AI, machine learning, data science, robotics, or similar.

• Strong working knowledge of generative AI concepts, agents, and prompt engineering.

• A clear, engaging communication style—both written and on camera.

• Experience designing and teaching technical content for developers (courses, workshops, or technical onboarding).

• A degree in Math, Data Science, Computer Science and/or applicable industry experience

• Familiarity with LangChain or other LLM frameworks/tools is a strong plus.