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.

• 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).

• 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.

• 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).

• 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).

• 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