Education Engineer, Fullstack

About The Role

Lang Chain is looking for an Education Engineer to help developers and agent builders learn how to build with Lang Chain, Lang Graph, and Lang Smith. In this role, you’ll turn cutting‑edge applied AI work into accessible, engaging educational content including hands‑on live workshops and meetups, online courses, and recorded video tutorials.

You will collaborate with our Applied AI and software engineering teams 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 experience with a passion for education, community building, and communication.

* This role is based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.

• Partner with Lang Chain engineers to develop educational content that teaches generative AI and agent‑building concepts using Lang Chain, Lang Graph, and Lang Smith.
• Design curriculum and learning paths for our community of over 1 million developers and agent builders.
• Create and deliver content across multiple formats.
• 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.

• A technical background in software development, ML, or applied AI—comfortable building small apps or code samples.
• An experienced software engineer or equivalent technical knowledge who enjoys and excels at making technical concepts understandable to different audiences.
• Previous experience developing online asynchronous curriculum in the areas of software engineering, 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, Computer Engineering or related technical field.
• Familiarity with Lang Chain or other LLM frameworks/tools is a strong plus.

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in‑office days in the US, and more.