From your data to a production agent delivering real value
FOUNDED
OFFICES
RAISED
We believe reinforcement learning will sit inside every sophisticated AI system of the future. Agents are reshaping how work gets done, and RL is the paradigm that turns a general model into a specialist: one that plans, reasons, executes, and gets better at your task.
AgileRL exists to remove the barriers to creating these specialist agents. Our open-source framework offers training and tuning capabilities for agents that is up to 10x faster than leading RL libraries. Arena, built on top of it, is our end-to-end enterprise platform that turns your raw data into a production ready agent.
RL is powerful, but historically complex and resource-intensive. We're committed to breaking down those barriers so teams can train, iterate, and deploy agent systems with ease.
We’re a tight, multidisciplinary team that works side-by-side to solve RL’s hardest technical challenges. Our culture is grounded in trust, shared responsibility, and genuine collaboration.
We care deeply about the experience of the people who use our tools. Our work is shaped by empathy - for researchers, engineers, and anyone pushing the boundaries of applied machine learning.
We believe we have a responsibility to contribute to one of the most important technological shifts in history. Everything we build is driven by that sense of purpose and long-term impact.
We work closely with companies across industries including finance, defence, and technology to deliver best-in-class autonomous solutions. We are looking for talented engineers to join the team and develop the systems and tools that will enable the next wave of impactful AI.
As a member of the AgileRL team, you will have the opportunity to be at the forefront of reinforcement learning innovation. We value curiosity, creativity, and a passion for pushing boundaries. Together, we will build not only state-of-the-art software but also a culture of excellence, collaboration, and continuous learning.
Technical/Commercial staff
London, UK + San Francisco, CA
