FullStack Engineer, AI Observability & Evals Platform (LangSmith)
TLDR
Build and implement new features for LangSmith, an AI observability and evals platform, collaborating with enterprise customers and internal stakeholders.
About the role
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.
What you will do
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
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
Compensation
Annual salary range: $145,000-180,000 USD
LangChain provides a robust platform for agent engineering, enabling developers to build, evaluate, deploy, and operate AI agents at scale. Tailored for tech innovators and major enterprises, LangChain streamlines the transition from prototypes to production-ready solutions, making intelligent agents widely accessible.