Education Engineer, Machine Learning

LangChain is seeking an Education Engineer to develop engaging educational content for developers and agent builders using LangSmith, LangChain, and LangGraph. This role involves turning cutting-edge AI techniques into accessible online courses, video tutorials, webinars, and live presentations. You will collaborate with engineering teams to create high-quality learning experiences, guide developers through real-world examples, and showcase best practices in agentic AI evaluation, monitoring, and iterative refinement. This hybrid role blends technical machine learning experience with a passion for education, community building, and communication.

Must Have

• Technical background and domain expertise in applied AI (Machine Learning, LLMs)
• Comfortable using datasets to run experiments, analyze model performance, and iterate toward more reliable, higher-quality outcomes
• 2+ years experience as a software engineer/developer who enjoys and excels at making technical concepts understandable
• 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)
• A degree in Computer Science, Machine Learning, Math, Data Science, and/or equivalent industry experience

Good to Have

• Familiarity with LangChain, LangSmith or similar LLM frameworks/tools

Perks & Benefits

• Competitive compensation including base salary and equity
• Health and dental coverage
• Flexible vacation
• 401(k) plan
• Life insurance

About the role:

LangChain is hiring an Education Engineer to help developers and agent builders learn how to build, evaluate, and continuously refine agents using LangSmith. In this role, you’ll turn cutting-edge applied AI techniques into accessible, engaging educational content across multiple formats - from online courses to in-person meetups and workshops.

You will collaborate with our Applied AI and engineering teams to create high-quality learning experiences that explain core concepts in agentic AI evaluation, monitoring, and iterative refinement. You will guide developers through real-world examples, showcase (and develop) best practices, and help the community succeed with LangChain tools. This is a hybrid role that blends technical machine learning experience with a passion for education, community building, and communication.

LangChain is uniquely positioned in the industry with the leading Agent Tracing, Evaluation, and Monitoring platform paired with the most vibrant agent developer community. This tight coupling enables developers to overcome the most significant hurdle in deploying agents today: reliability. We need an educator who can understand and communicate these advantages to the community.

What you’ll do:

• 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.

How to be successful in the role:

• A technical background and domain expertise in applied AI (Machine Learning, LLMs etc). You should be comfortable using datasets to run experiments, analyze model performance, and iterate toward more reliable, higher-quality outcomes.
• 2+ years experience as a software engineer/developer who enjoys and excels at making technical concepts understandable.
• 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 Computer Science, Machine Learning, Math, Data Science, and/or equivalent industry experience

Compensation and Benefits:

We offer competitive compensation including base salary, equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Compensation varies based on role, level, and location. Annual salary range: $155,000 - 185,000