LLM Framework · San Francisco
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. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
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.
Today, LangChain, LangGraph, LangSmith, and Fleet 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.
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.
**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.
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 or data scientist 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 Math, Data Science, Computer Science, Computer Engineering or related technical field.
Salary Range: $140,000 - $180,000
Compensation Philosophy:
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.