refresh

Trending Companies

Trending

Jobs

JobsLangChain

JavaScript Engineer (Open Source Team)

LangChain

JavaScript Engineer (Open Source Team)

LangChain

San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$150,000 - $225,000

Benefits & Perks

401(k) matching

Team events and activities

Parental leave

Professional development budget

Comprehensive health, dental, and vision insurance

Parental Leave

Learning

Healthcare

Required Skills

Python

PostgreSQL

JavaScript

About Us:

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:

We’re looking to add a core maintainer to the Lang Chain team. This person would be responsible for maintaining and improving the LangChain JavaScript package. In-person in SF preferred.

  • Improving the core abstractions and runtime of the langchain and langgraph packages

  • Improving documentation

  • Answering user questions and resolving issues

  • Use langchain to build example applications

How to be successful in this role

  • 3+ years of software engineering or applied machine learning background

  • Have a Software Engineering background

  • Have strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders

  • 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

  • Are ownership-minded. You excel at managing your work efficiently and effectively without the need for close supervision

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- $225,000

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

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