Company Introduction
Kodamai is pioneering a new era in the digital economy by building collaborative communities of AI agents. Our mission is to deliver a transformative wave of business automation, driving significant improvements in productivity, cost efficiency, and operational excellence. We aspire to become the future operating system for AI-driven enterprises.
Our Glasgow, UK office embraces a hybrid working model, encouraging three days of in-person collaboration each week, while offering remote flexibility for outstanding candidates. We are passionate about cultivating a diverse and inclusive workplace, where unconventional thinking and scientific rigor are at the core of our approach. Kodamai leads with innovation, conducting original AI research and applying rigorous mathematical foundations to deliver unique solutions for our clients.
We believe our employees are our greatest asset. We foster a supportive, unified team that values open communication, humility, honesty, and teamwork. We actively encourage diverse perspectives and problem-solving, with a commitment to continuous learning and excellence.
Deep Reinforcement Learning Engineer
Kodamai is seeking an experienced engineer with a strong background in model-based deep reinforcement learning, or hands-on experience applying machine learning techniques to program synthesis or theorem proving. Familiarity with category theory is a plus, though a willingness to learn is equally valued.
This role involves contributing to the advancement of Kodamai's orchestration language and platform, integrating machine learning capabilities, and supporting the development of intelligent automation systems. You will collaborate closely with our team as we build the next generation of AI agents.
If you meet these qualifications and are interested in joining our innovative team, please email your CV to careers@kodamai.com.
How to Apply
To apply, please send your CV and a cover letter detailing your relevant experience and fit for this role to careers@kodamai.com The position will remain open until filled.