About the job
About Us
At LangChain, we are dedicated to making intelligent agents a common feature in our daily lives. Our platform empowers developers to transition from simple prototypes to production-ready AI agents that organizations can trust. Initially, we gained recognition through our open-source tools, and we have since evolved to provide a robust platform for the development, evaluation, deployment, and management of AI agents at scale.
Our products, including LangChain, LangGraph, LangSmith, and Agent Builder, are utilized by teams from startups to Fortune 500 companies, such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and many others. Millions of developers count on LangChain to enhance their AI capabilities.
With $125M raised in Series B funding from leading investors like IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are in a phase of rapid product development and growth, where every team member has a significant role in shaping our technology and collaborative work environment.
About the Team
The Deployed Engineering team collaborates directly with businesses to design and implement AI agents in operational settings, transforming concepts and prototypes into reliable systems.
This technically proficient team engages closely with customer engineers throughout the entire lifecycle, from pre-sales consultations to post-deployment support. Our primary goal is to achieve technical excellence, co-design agent architectures, and assist clients in managing their agents efficiently using the LangChain suite.
About the Role
As a Deployed Engineer, you will tackle some of the most challenging issues in applied AI—focusing on real-world systems that teams depend on rather than mere demonstrations or research. The rapid feedback loop ensures that your contributions are visible and impactful, directly influencing the construction of AI agents in practical applications.
What You’ll Do
- Collaborate to design and develop production-level AI agents with customer teams.
- Engage with clients to ensure successful implementation and operation of AI solutions.

