About LangChain:
At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.
About the role:
LangChain is looking for an Education Engineer 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 including hands-on live workshops and meetups to 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.
You will:
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.
An experienced engineer or developer 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 and/or applicable industry experience
Familiarity with LangChain or other LLM frameworks/tools is a strong plus.
*This position is based onsite in our San Francisco office
Compensation & Benefits:
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
Annual salary range: $150,000-$185,000
Top Skills
What We Do
LangChain is the platform for building reliable agents. Our products power top engineering teams — from fast-growing startups like Lovable, Mercor, and Clay to global brands including AT&T, Home Depot, and Klarna.
LangGraph is a low-level orchestration framework for building controllable agents and long-running workflows. It’s used in production by teams at Replit, Uber, LinkedIn, GitLab, and more.
LangSmith offers unified evaluation and monitoring to help developers debug, evaluate, and improve their agents at scale.
LangChain provides hundreds of integrations and composable components, making it easy to connect with the latest models, tools, and databases — with minimal engineering overhead.
Together, these tools help teams build, deploy, and manage enterprise-grade agents, faster.








