AI Innovator

EXUS is a cutting-edge technology firm specializing in innovative debt collections software for financial services and utilities. Our enterprise platform serves over 50 countries worldwide, delivering measurable improvements in collections, compliance, and operational efficiency. With extensive experience and a product recognized by Gartner as best-in-class, we leverage global insight to empower collections teams globally.

This opportunity enables you to be part of a highly motivated, diverse, and multidisciplinary team that adopts breakthrough thinking and technology to create impactful software. We offer a dynamic, collaborative, and inspiring work environment that fosters team spirit and promotes the greater good. Our culture values positivity and eagerness to learn and explore.

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 do not waste resources
• We are fanatically disciplined, and we deliver on our promises

We are seeking an experienced AI Engineer to join us in crafting the next generation of intelligent credit risk and collections systems. This position is remote-first, offering flexibility and collaboration opportunities with cross-functional teams shaping AI-powered features for real-world impact.

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

To succeed in this role, you should possess:

• A degree in Computer Science, Engineering, Mathematics, Physics, or related STEM field (MSc/PhD preferred)
• 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 beneficial
• Proficiency in Python, writing clean, modular, and tested code with async handling, dependency management, and testing practices
• Familiarity with GenAI coding assistants like Cursor or Copilot is a plus
• Hands-on experience with LLM and Generative AI frameworks such as LangGraph or Pydantic AI for building workflows, RAG pipelines, and AI agents
• Familiarity with LLM fine-tuning methods like Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF)
• Proficiency in ML/DL frameworks like scikit-learn, XGBoost, PyTorch, or TensorFlow for supervised, unsupervised, and time-series modeling
• Familiarity with MLOps and observability tools, including MLflow or Kubeflow, for managing lifecycles and monitoring models end-to-end
• Solid theoretical foundation in statistics, probability, optimization, and ML fundamentals like bias/variance trade-offs, loss functions, and evaluation metrics

Experience with CI/CD using Git-based automation and monitoring tools like Prometheus or OpenTelemetry would be advantageous

Exposure to data and feature pipelines with tools like Airflow or Spark, 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

• 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)

• Flexible remote work setup
• Competitive salary
• Inclusive work environment & Well-being Program
• Clear induction program & mentoring buddy support
• Private health insurance allowance
• Unlimited time off