Level

LangChain

Python OSS Engineer

LangChain is hiring a Python OSS Engineer in San Francisco, United States. It pays $150k-$250k a year and Level rates it ; you can apply on LangChain.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • The posting mentions LangGraph, Clay and AI agents among its tools and skills.
  • LangChain has 103 other open roles on Level.

AI in this role

langgraphclay
ai-agents
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.

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.

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.

About the Team

The Python Open Source team maintains and evolves the core LangChain Python ecosystem used by millions of developers worldwide. We focus on building reliable, well-designed abstractions for developing AI agents and integrating them with real-world tools and systems. The team works closely with the open-source community, incorporating feedback and contributions while ensuring the core libraries remain stable, scalable, and production-ready. Our work defines the developer experience for building AI applications with Python.

About the role

In person 5 days/week in San Francisco, CA or Boston, MA (SF preferred)

We’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain Python package.

  • 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

What You'll Do

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

  • Improve documentation across the LangChain ecosystem

  • Answer user questions and resolve issues from the community

  • Use LangChain to build example applications that demonstrate how to build production AI systems

What You'll Bring

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

  • 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 impactful work and 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

  • Annual salary range: $150,000- $250,000

Compensation Philosophy:

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.

We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

Benefits

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

How we rate this

Python OSS Engineer at LangChain rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsLangGraphClay

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Walk me through how you've used LangGraph in your day-to-day work.
  3. What are the limits of Clay that you've run into, and how did you work around them?
  4. How would you decide a model or AI system is ready to ship?
  5. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: AI agents, LangGraph, and Clay. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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