About the job
About Us
At LangChain, we strive to make intelligent agents a common aspect of everyday technology. We provide the essential infrastructure that empowers developers to transition from experimental prototypes to production-ready AI agents that teams can depend on. Initially launched as an open-source initiative, we have expanded to offer a robust platform for the design, evaluation, deployment, and management of AI agents at scale.
Our tools, including LangChain, LangGraph, LangSmith, and Agent Builder, are utilized by numerous teams to deliver innovative AI solutions, from startups to major enterprises. Companies such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 rely on LangChain to enhance their AI capabilities.
With $125M raised in our Series B funding from esteemed investors including IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are in a dynamic growth phase, continually developing new products. Every team member plays a crucial role in shaping our technology and collaborative processes at LangChain.
About the Team
The Deployed Engineering team collaborates directly with clients who are implementing and managing AI agents in production, transforming their concepts and prototypes into reliable systems.
This team is highly technical and hands-on, working closely with client engineers throughout the entire lifecycle—from pre-sales assessments to post-deployment support. Our goal is to secure technical victories, co-design agent architectures, and ensure customers can operate agents effectively and reliably at scale using the LangChain suite.
Deployed Engineers serve as a pivotal link between engineering, product, and go-to-market strategies, influencing how LangChain is integrated in real-world applications and providing valuable insights to enhance our platform.
About the Role
As a Deployed Engineer, you will tackle some of the most challenging real-world problems in applied AI—focusing on systems that teams depend on in live environments, rather than just demos or theoretical research. You will see the impact of your work quickly, and your contributions will significantly influence the development of AI agents in practical settings.
What You’ll Do
- Collaborate to architect and build production AI agents alongside customers, ensuring that their solutions meet real-world demands.

