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Senior Fullstack Engineer, AI Observability & Evals Platform

LangChain· Engineering
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Boston, MA, New York, NY$175k - $240kFull-timePosted 1mo ago

About the role

Senior Fullstack Engineer role focused on LangSmith, LangChain’s platform for observability, evaluation, and production reliability of AI systems. Onsite in Boston, MA, collaborating with product, design, and enterprise customers to shape the platform across Go, Python, and TypeScript stack.

Responsibilities

  • Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.
  • Collaborate closely with product and design teams to iterate on new features.
  • Help drive aggressive project timelines while ensuring high engineering standards are being met.
  • Lead by example in writing clean, maintainable, and well-tested code.

Qualifications

  • 5+ 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
  • Strong understanding of database systems, particularly Postgres and Redis
  • Experience designing and scaling APIs, preferably in a high-performance, data-intensive application
  • 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

Skills

Required:Go or Python backendReact + TypeScript frontendPostgreSQLRedisAPI design and scaling

Benefits

  • medical, dental, and vision coverage
  • flexible vacation
  • 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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