Python OSS Engineer
Company websitelangchain.com (LangChain, opens in new tab)
Base salary $150K to $250K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA +1 more
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (31 min ago) · observed since
All places named
- San Francisco, CA
- Boston, MA
About this job
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.
Source: LangChain on Ashby · View original posting (opens in new tab)
This listingPython OSS Engineer$150K to $250K
IT Systems Engineer$150K to $170K
Order Management Operations & Automation$155K to $185K
Product Designer$145K to $185K
FullStack Engineer, AI Observability & Evals Platform (LangSmith)$145K to $180K
Order Management Operations & Automation$155K to $185K
Analytics Engineer$140K to $180K
Chart as a table
| Role | Published base |
|---|---|
| Python OSS Engineer (this listing) | $150K - $250K |
| IT Systems Engineer | $150K - $170K |
| Order Management Operations & Automation | $155K - $185K |
| Product Designer | $145K - $185K |
| FullStack Engineer, AI Observability & Evals Platform (LangSmith) | $145K - $180K |
| Order Management Operations & Automation | $155K - $185K |
| Analytics Engineer | $140K - $180K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2025-02-10
Where this pay comes from
Location as the employer wrote it: San Francisco, CA • Boston, MA
- Annual salary range: $150,000- $250,000
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
