招聘
福利待遇
•Flexible Hours
•Equity
•Parental Leave
•Healthcare
必备技能
PostgreSQL
TypeScript
React
About Lang Chain:
At Lang Chain, 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.
Today, Lang Chain, Lang Graph, Lang Smith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust Lang Chain 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. Lang Chain is a place where your contributions can shape how this technology shows up in the real world.
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.
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.
What You Will Do:
-
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.
What You Will Bring:
-
A technical background in software development, ML, or applied AI—comfortable building small apps or code samples.
-
An experienced software engineer or equivalent technical knowledge 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, Computer Engineering or related technical field
-
Familiarity with Lang Chain or other LLM frameworks/tools is a strong plus.
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. 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.
Annual salary range: $160,000-$190,000
总浏览量
2
申请点击数
0
模拟申请者数
0
收藏
0
相似职位

Fullstack Engineer, Seller Growth
Whatnot · San Francisco, CA

Software Engineer, Full Stack (Chemistry)
Benchling · San Francisco, CA

Software Engineer, Full Stack
Figma · San Francisco, CA • New York, NY • United States

Fullstack Engineer, Safety Engineering
OpenAI · San Francisco

Full Stack Software Engineer - Finance
Perplexity AI · San Francisco
关于LangChain

LangChain
Series BA platform that provides open-source frameworks and tools for engineering and deploying language model agents.
51-200
员工数
San Francisco
总部位置
$200M
企业估值
评价
3.4
3条评价
工作生活平衡
2.5
薪酬
3.0
企业文化
2.8
职业发展
3.2
管理层
2.3
35%
推荐给朋友
优点
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
缺点
Uncertainty about long-term career prospects and employability
Projects rarely make it to production use
Lack of senior developer mentorship and guidance
薪资范围
13个数据点
Mid/L4
Senior/L5
Mid/L4 · Product Designer
1份报告
$178,619
年薪总额
基本工资
$155,147
股票
-
奖金
-
$178,619
$178,619
面试经验
10次面试
难度
2.7
/ 5
时长
14-28周
录用率
60%
体验
正面 50%
中性 40%
负面 10%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Assessment/Take-home
4
Technical Interview
5
Virtual Onsite/Final Round
6
Offer
常见问题
System Design
Machine Learning/AI Knowledge
Coding/Algorithm
Technical Architecture
Behavioral/STAR
新闻动态
LangChain, Langflow, LiteLLM: When AI’s Foundation Code Becomes the Attack Surface - Security Boulevard
Security Boulevard
News
·
1w ago
DataCamp and LangChain Partner to Launch AI Engineering Learning Track - Business Wire
Business Wire
News
·
3w ago
Finally made it ugghhhh
https://preview.redd.it/61yq8yyinnrg1.png?width=462&format=png&auto=webp&s=1f821e417ef14ac8d60ecd0714297886a81586fa Hey I am 3rd year CS undergrad from Lower NIT, I started out my journey seriously in 2nd year by learning MERN nd stuff did an internship at the end of 4th sem (which was unpaind and work from home). During summer vacation I realised this web dev stuff is not for me and switched to learning ML nd boy I loved this domain (maybe since I sucked at web dev i was under pres
·
3w ago
·
19
·
23
LangChain Releases Comprehensive Agent Evaluation Checklist for AI Developers - mexc.com
mexc.com
News
·
3w ago