채용
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:
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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.
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Design curriculum and learning paths for our community of over 1 million developers and agent builders.
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Create and deliver content across multiple formats:
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Online courses for Lang Chain Academy, video tutorials and webinars
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Live presentations at workshops, hackathons, meetups, and conferences
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Build and maintain example projects, code demos, and visuals to support educational content.
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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
Series BA 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
News & Buzz
LangChain: $125 Million Raised To Advance Agent Engineering Platform - Pulse 2.0
Source: Pulse 2.0
News
·
19w ago
LangChain Raises $125M in Series B, Hits $1.25B Unicorn Valuation - WebProNews
Source: WebProNews
News
·
19w ago
Sequoia backs AI agent tools LangChain at $1.3b valuation - Tech in Asia
Source: Tech in Asia
News
·
19w ago
LangChain becomes unicorn with $1.25B valuation in Series B - The Tech Buzz
Source: The Tech Buzz
News
·
19w ago