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Education Engineer, Fullstack

LangChain

Education Engineer, Fullstack

LangChain

San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$150,000 - $185,000

Benefits & Perks

Team events and activities

Flexible work arrangements

Competitive salary and equity package

401(k) matching

Parental leave

Comprehensive health, dental, and vision insurance

Flexible Hours

Equity

Parental Leave

Healthcare

Required Skills

PostgreSQL

TypeScript

React

About Lang Chain:

At Lang Chain, 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, Lang Chain and Lang Graph, see over 90+ million downloads per month and help developers build agents with speed and granular control. Lang Smith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.

Lang Chain 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:

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 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 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:

  • Online courses for Lang Chain 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 Lang Chain 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

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About LangChain

LangChain

LangChain

Series B

A platform that provides open-source frameworks and tools for engineering and deploying language model agents.

51-200

Employees

San Francisco

Headquarters

$200M

Valuation

Reviews

3.4

3 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

2.8

Career

3.2

Management

2.3

35%

Recommend to a Friend

Pros

Working with cutting-edge AI technologies like LangChain and RAG

Hands-on experience building end-to-end AI projects

Exposure to modern applied AI development

Cons

Uncertainty about long-term career prospects and employability

Projects rarely make it to production use

Lack of senior developer mentorship and guidance

Salary Ranges

9 data points

Mid/L4

Mid/L4 · Product Designer

1 reports

$178,619

total / year

Base

$155,147

Stock

-

Bonus

-

$178,619

$178,619

Interview Experience

10 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 50%

Neutral 40%

Negative 10%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Assessment/Take-home

4

Technical Interview

5

Virtual Onsite/Final Round

6

Offer

Common Questions

System Design

Machine Learning/AI Knowledge

Coding/Algorithm

Technical Architecture

Behavioral/STAR