招聘
Benefits & Perks
•Team events and activities
•Professional development budget
•Comprehensive health, dental, and vision insurance
•Parental leave
•Generous paid time off and holidays
•401(k) matching
•Learning
•Healthcare
•Parental Leave
Required Skills
TypeScript
JavaScript
Node.js
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
- Work closely with companies on the frontier of LLM-applications, bringing ideas to production-ready apps
- Collaborate on a wide variety of LLM-apps from concierge search, codegen, agentic co-pilots and more
- Give technical demos the entire suite of Lang Chain's products
- Lead trainings and workshops on best practices, targeted at developer audiences
- Collaborate closely with the enterprise sales team to win deals
- Collaborate closely with engineering, helping translate customer insights and feedback into product improvements
- Lead internally- and externally-facing, special projects that dogfood our new products
How to be successful in this role
- Engineers who love working with customers or are aspiring future founders
- Deployed engineers / solution architects who have experience in the role at developer focused companies.
- You have an engineering background and enjoy being a trusted partner to companies
- You like to find a way to “make it work”. Bent towards action and service orientation.
- You enjoy keeping up to date on the latest industry techniques
- You’re comfortable presenting best practices to bigger teams
- Bonus if familiar with Lang Chain or building with LLMs
- Can thrive in a fast moving environment. Views unstructured environments as an opportunity to figure out the most impactful work and define the future success of the company. Startup experience is a bonus.
- Ownership minded
- Minimum experience of 3+ years in a similar technical role: software engineering, customer engineering
Locations: WEST (San Francisco, Pacific Northwest, So Cal)
CENTRAL (Austin, Chicago, Denver)
EAST (New York, Atlanta)
EMEA (London, Amsterdam)
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 OTE salary range: $150,000-$270,000 USD
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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