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LangChainLA

FullStack Engineer, Observability & Evals Platform (LangSmith)

LangChain is an open-source framework and developer platform for building applications powered by large language models (LLMs), simplifying the entire development lifecycle from prototype to production.

LangChain

Employee count: 51-200

Salary: 140k-175k USD

United States only

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About LangChain

At LangChain, 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, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.

LangChain 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:

In person 5 days/week in San Francisco

We're looking for a Fullstack Engineer to work on LangSmith, our commercial observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders.

  • Develop and implement key product features working across our entire Go, Python, and Typescript stack
  • Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap
  • Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code

How to be successful in this role

  • 2+ years of experience in software engineering working on complex platform products
  • Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend
  • Solid understanding of database systems, particularly Postgres and Redis
  • Experience designing and scaling APIs, preferably in high-performance, data-intensive applications
  • A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback
  • Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
  • Strong ownership mindset
  • Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms

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: $140,000-175,000 USD

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Full Time

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Salary

Salary: 140k-175k USD

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United States +/- 0 hours

About LangChain

Learn more about LangChain and their company culture.

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LangChain is dedicated to empowering developers who are navigating the complexities of building with large language models (LLMs). Many developers and companies face significant hurdles when trying to move beyond simple API calls to create truly dynamic, production-ready AI applications. The challenges often lie in connecting LLMs to proprietary data sources, enabling them to interact with other tools, and managing the state of conversations, all while ensuring the final application is reliable and scalable. Customers need a streamlined way to build, debug, and deploy these sophisticated applications without getting bogged down in boilerplate code and complex integrations.

To address these challenges, LangChain provides a comprehensive open-source framework and a suite of tools designed to simplify the entire AI engineering lifecycle. For developers struggling to make their LLMs context-aware, our framework offers robust components for retrieval augmented generation (RAG), allowing applications to ground their responses in specific, up-to-date information. We understand that building intelligent agents that can reason and take action is a critical goal for our users. That's why we developed LangGraph, a library for creating stateful, multi-actor applications. Furthermore, with LangSmith, we provide essential observability, tracing, and evaluation capabilities, giving developers the visibility they need to debug issues, monitor performance, and confidently ship reliable products. From startups to global enterprises, our customers choose LangChain to transform their innovative ideas into powerful, domain-specific copilots, efficient customer support bots, and intelligent enterprise solutions.

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LangChain

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