LangChain
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.
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.). 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, or equivalent industry experience.
Compensation and Benefits Competitive base salary, equity and benefits including health and dental coverage, flexible vacation, a 401(k) plan and life insurance. Annual salary range:
$155,000 – $185,000
(varies by role, level and location).
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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.
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.). 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, or equivalent industry experience.
Compensation and Benefits Competitive base salary, equity and benefits including health and dental coverage, flexible vacation, a 401(k) plan and life insurance. Annual salary range:
$155,000 – $185,000
(varies by role, level and location).
#J-18808-Ljbffr