Full Stack Engineer (Growth Engineering)

LangChain is revolutionizing the AI development landscape with their mission to make intelligent agents ubiquitous. Their open source frameworks - LangChain and LangGraph - are industry leaders with over 70+ million downloads monthly, providing developers with composable integrations and controllable agent orchestration capabilities.

This Full Stack Engineer role on the Growth Engineering team presents a unique opportunity to join a newly formed team with significant impact potential. The position requires in-person work in either New York City, San Francisco, or Boston, and offers a salary range of $145,000 - $175,000 plus equity.

The role focuses on developing features crucial for product growth, monetization, and enterprise adoption. You'll be working on essential components like authentication, authorization, pricing, and enterprise administration. Key projects include building scalable usage analytics, creating seamless onboarding experiences, and implementing pricing and product funnel experiments.

The ideal candidate should have 3+ years of software engineering experience with strong expertise in React and TypeScript, plus knowledge of either Go or Python. You'll be working with modern technologies including RESTful APIs, PostgreSQL, Redis, and JWT authentication mechanisms. The role requires both technical excellence and strong communication skills, as you'll be collaborating with cross-functional teams and engaging directly with customers.

LangChain, founded in 2023, has quickly established itself as a crucial tool for top engineering teams at companies like Replit, Lovable, Clay, Klarna, and LinkedIn. Their commercial agent platform, comprising LangSmith and LangGraph Platform, enables organizations to build, test, run, and manage agents at scale.

This position offers a rare opportunity to shape the future of AI development tools while working with cutting-edge technologies. The role is perfect for someone who thrives in fast-paced environments, takes ownership of their work, and wants to make a significant impact in the AI tools space. Experience with AI/LLM-powered applications, developer tools, or observability platforms is a plus.