JavaScript Engineer (Open Source Team)

Reposted 6 Days Ago
San Francisco, CA
In-Office
115K-195K Annually
Mid level
Information Technology • Software • Database
The Role
Maintain and improve the LangChain JavaScript package, enhance documentation, assist users, and build example applications.
Summary Generated by Built In

About Us:

At LangChain, 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, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain 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. LangChain is a place where your contributions can shape how this technology shows up in the real world.

About the Team:

The Open Source team builds and maintains the core libraries that developers use to build AI agents with LangChain. The team works directly with the open-source community to improve the ecosystem, maintain core packages, and ensure developers can reliably build and deploy production AI systems using LangChain.

About the Role:

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

What You'll Do:

  • Improve the core abstractions and runtime of the LangChain and LangGraph JavaScript packages

  • Improve documentation across the LangChain ecosystem

  • Answer user questions and resolve issues from the developer community

  • Use LangChain to build example applications that demonstrate best practices for developers building AI systems

What You'll Do:

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

  • A background in software engineering

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

  • The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify the most impactful work and help define the future success of the company

  • An ownership-minded approach to work, with the ability to manage 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

Top Skills

JavaScript
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The Company
123 Employees

What We Do

LangChain is the platform for building reliable agents. Our products power top engineering teams — from fast-growing startups like Lovable, Mercor, and Clay to global brands including AT&T, Home Depot, and Klarna.

LangGraph is a low-level orchestration framework for building controllable agents and long-running workflows. It’s used in production by teams at Replit, Uber, LinkedIn, GitLab, and more.

LangSmith offers unified evaluation and monitoring to help developers debug, evaluate, and improve their agents at scale.

LangChain provides hundreds of integrations and composable components, making it easy to connect with the latest models, tools, and databases — with minimal engineering overhead.

Together, these tools help teams build, deploy, and manage enterprise-grade agents, faster.

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