Develop Next-Generation Credit Risk Systems

Intelligent Systems Developer

EXUS is a leading 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.

We are committed to empowering collections teams globally with innovative software solutions that combine global insight with local adaptability.

This is an exciting opportunity to join our highly motivated and diverse team, embracing breakthrough thinking and technology to create intelligent systems that serve people.

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

As an Intelligent Systems Developer 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 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 for managing lifecycles and monitoring models end-to-end.
• Solid theoretical foundation in statistics, probability, optimization, and ML fundamentals.

• Experience with CI/CD and observability using Git-based automation and monitoring tools.
• Exposure to data and feature pipelines with tools such as Airflow, Spark, or Kafka.
• Familiarity with cloud-native development on AWS, Azure, or GCP.
• Understanding of API and system architecture, including event-driven design and API exposure.
• Awareness of security and compliance in ML.

• Curious and inventive spirit; motivated to explore emerging techniques.
• Thrive in fast-moving squads; action-oriented with a focus on continuous improvement.
• Excellent command of the English language; clear communicator able to convey complex models into business value.
• Strong problem-solving and analytical thinking skills.
• Team player, self-motivated, and constantly seeking new knowledge.
• Growth mindset with strong alignment to our values.

• Fully remote work setup.
• Competitive salary.
• Inclusive work environment & Well-being Program.
• Clear induction program & mentoring buddy to help you.
• Private health insurance allowance.
• Unlimited time off.