Senior AI Engineer

EXUS is a global technology company specializing in debt collections software for financial services and utilities. Our enterprise SaaS platform is used in over 50 countries worldwide, delivering measurable improvements in collections, compliance, and operational efficiency. With 20+ years of experience and a product recognized by Gartner as best-in-class, we combine global insight with local adaptability to empower collections teams worldwide. 

Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose of being role models for a better world. 

This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people. We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good. We are positive and eager to learn and explore. We are committed to our vision. 

Our shared Values: 

• We are transparent and direct 

• We are positive and fun, never cynical or sarcastic 

• We are eager to learn and explore 

• We put the greater good first 

• We are frugal and we do not waste resources 

• We are fanatically disciplined, and we deliver on our promises 

We are EXUS! Are you? 

EXUS is looking for a talented Senior AI Engineer to join us in building the next generation of intelligent credit risk and collections systems. This is a remote-first role, with the opportunity to collaborate in hybrid mode at our Athens offices alongside cross-functional teams shaping AI-powered features for real-world impact. 
 

As a Senior AI Engineer, you will be designing, deploying, and operating production-grade ML/GenAI systems that power credit-risk scoring, early-warning, and digital collections optimization inside our EXUS Financial Suite (EFS). You will work end-to-end: from data understanding and feature engineering on transactional, behavioral, and bureau data, through model training and evaluation, to robust deployment, monitoring (including data and concept drift), and continuous improvement. You will also help design LLM-powered workflows and agents that complement core risk models and improve collections productivity, always with a focus on reliability, explainability, and business value.