Fullstack Software Engineer, Applied AI

About LangChain :

At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.

Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.

LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.

About the role :

We're hiring Applied AI Engineers to help us build AI agents that power every part of LangChain from Marketing and GTM to Recruiting, Support, Internal Tools, and our Core Product.

In this role you will own a problem space and work closely with that function to design, build, and deploy production-grade agents, workflows, and applications that transform how we operate. Your work will directly accelerate LangChain's mission to make intelligent, autonomous software a reality both internally and for our customers. Some of these projects will be open source , contributing to the LangChain and LangGraph ecosystem and setting new standards for how companies build with AI.

If you are passionate about putting AI agents into real production use cases and seeing them drive measurable business impact, this team is for you.

You will :

• Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains.
• Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes.
• Translate emerging AI research and tooling into practical, production-ready solutions.
• Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders.
• Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact.
• Contribute to the LangChain and LangGraph ecosystem , including open source components, documentation, and shared tools.

How to be successful :

Expertise with LangChain or LangGraph .

Compensation :