AI Engineer at EXUS

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 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 an AI Engineer you will  be developing production-grade AI that blends state-of-the-art LLM-based agentic workflows with conventional machine learning to power next-generation credit-risk, early-warning and digital collections capabilities inside our EXUS Financial Suite (EFS). 

Requirements

 

• BSc in Computer Science, Engineering, Mathematics, Physics, or related STEM field (MSc/PhD a plus).
• At least 3 years of experience building ML/AI solutions, including hands-on work with LLMs or Generative AI in production.
• Experience in financial services, credit risk, or banking is a plus.
• Skilled in Python, writing clean, modular, and tested code with async handling, dependency management, and testing practices. Familiarity with GenAI coding assistants (e.g., Cursor, Copilot) is a plus.
• Hands-on experience with LLM and Generative AI frameworks such as LangGraph, LangChain, or Pydantic AI for building workflows, RAG pipelines, and AI agents.
• Familiar with LLM fine-tuning methods such as Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF).
• Proficient in ML/DL frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow for supervised, unsupervised, and time-series modeling.
• Familiar with MLOps and observability tools, including MLflow, Kubeflow, LangSmith, or Langfuse, for managing lifecycles and monitoring models end-to-end.
• Solid theoretical foundation in statistics, probability, optimization, and ML fundamentals such as bias/variance trade-offs, loss functions, and evaluation metrics.

 

Nice-to-Have Skills:

 

• Experience with CI/CD and observability using Git-based automation (e.g., GitHub Actions, GitLab CI) and monitoring tools like Prometheus, Grafana, or OpenTelemetry.
• Exposure to data and feature pipelines with tools such as Airflow, Spark, or Kafka, including designing or contributing to workflows and feature stores.
• Familiarity with cloud-native development on AWS, Azure, or GCP, including containerized deployment with Docker/Kubernetes and basic infrastructure-as-code.
• Understanding of API and system architecture, including event-driven design and API exposure (REST/gRPC), with the ability to reason about latency, throughput, and scaling trade-offs.
• Awareness of security and compliance in ML, including responsible-AI practices, model governance, and secure deployment (e.g., GDPR, MLOps access control).

 

General Skills:

• Curious and inventive spirit; motivated to explore emerging techniques, experiment boldly, and translate ideas into working systems.
• Thrive in fast-moving, autonomous squads; action-oriented with a focus on continuous improvement.
• Excellent command of the English language (both verbal and written); clear communicator able to convey complex models into business value for non-technical stakeholders.
• Strong problem-solving and analytical thinking skills.
• Team player, self-motivated, and constantly seeking new knowledge.
• Growth mindset with strong alignment to EXUS values.
• Fulfilled military obligations (If applicable).

Benefits

At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team success. 

 

• Fully remote work setup 

• Competitive salary 

• Inclusive work environment & Well-being Program 

• A clear induction program & a mentoring buddy to help you 

• Private health insurance allowance  

• Unlimited time off 

 

EXUS was founded in 1989 with the vision to transform the costly and complex enterprise software industry – making it simple, accessible and exciting.

EXUS launched its Financial Suite (EFS) in 2003 with the aim to support financial entities worldwide to improve their results. With headquarters in London and R&D center in Athens, our EXUS Financial Suite (EFS) is trusted by risk professionals in more than 40 countries worldwide. We introduce simplicity and intelligence in their business processes through technology, improving their collections performance. The EFS Loan Collections is a comprehensive suite of software applications that manages credit risk along the whole lifecycle of accounts, from the moment of disbursement until write-off or debt sale. Our Debt Collections Suite consists of six applications: EXUS Collections, Field Collections, Collections Self Service, Collections Analytics, Legal Recoveries and Write-Off.

Our Digital Transformation Solutions cover a wide range of demanding applications for banks and financial services companies, telecoms operators and utilities.

EXUS is highly dedicated to Research and Development. We strongly appreciate the importance of acquiring knowledge in specialized fields of science and technology and its impact on innovation and the creation of new models and techniques especially in the field of Artificial Intelligence and Machine Learning.

At EXUS we strive to employ and partner with the best. At EXUS we help our people to achieve excellent results by creating a working environment that encourages individual and team successes. This is our philosophy for success.

 

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, we deliver on our promises