At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. What began as widely adopted open-source tools has grown into a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
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.
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: $165,000 - 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.
