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 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 evaluation techniques into crisp, developer-friendly learning materials.

A technical background and domain expertise in applied AI (Machine Learning, LLMs etc)
2+ years experience as a software engineer/developer or equivalent technical knowledge
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 agent evaluation
A clear, engaging communication style
both written and on camera
Experience designing and teaching technical content for developers (courses, workshops, or technical onboarding)
Familiarity with LangChain, LangSmith or similar LLM frameworks/tools is a strong plus
A degree in Math, Data Science, Computer Science, Computer Engineering or related technical field

Education Engineer, Machine Learning

Key skills