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# FullStack Engineer, AI Observability & Evals Platform

- **Company:** Langchain, Inc
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $145,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Databases, Programming Tools, Python (Programming Language), PostgreSQL, Redis, Software Engineering, TypeScript, ReactJS, Large Language Models, Backend, Front End Software Development, Golang
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/fullstack-engineer-ai-observability-evals-platform-langsmith-langchain-7807025

## About the 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
 * Strong ownership and a "get stuff done" mindset - 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
 * Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms

## Description

We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI 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


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