FullStack Engineer, AI Observability & Evals Platform (LangSmith)
LangChain· Engineering
San Francisco, CA, Boston, MA, New York, NY$145k - $180kFull-timePosted 11mo ago
About the role
Fullstack Engineer to work on LangSmith, LangChain's commercial AI observability and evals platform, building features for enterprise customers, developers, and internal stakeholders across Go, Python, and TypeScript stack.
Responsibilities
- 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 by writing clean, maintainable, and well-tested code
Qualifications
- 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
Skills
Required:Go or Python backendReact + TypeScript frontendPostgresRedisAPI design and scalingCommunication and collaboration
Benefits
- medical, dental, and vision coverage
- flexible vacation
- a 401(k) plan
- meals on in-office days in the US and more
Last updated Oct 14, 2026. Interested? Apply on the company site.
About LangChain
Engineer reliable agents
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
AI agentsagent engineeringbrex-fastest-growing-2025liquid-ai-recruiting-targetopen source frameworksplatform
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