ML/AI Engineer - Agentic AI & Fraud Analytics (Public Sector)
At Xtremax, we're looking for an ML/AI Engineer to build AI-powered systems that help identify emerging fraud risks and improve fraud detection. You'll work with a Data Science and AI team developing the next generation of fraud analytics capabilities, supporting the detection of misuse of public training subsidies.
You'll design and develop two complementary agentic AI systems: one that identifies and prioritises emerging fraud risks from approved information sources, and another that helps translate validated risks into actionable detection logic. The work goes beyond prototyping — you'll build evaluated, maintainable solutions with appropriate human oversight, traceability and responsible-AI safeguards.
Working alongside data scientists, analysts, business users and platform engineers, you'll contribute to production-ready AI workflows while helping establish the engineering practices needed to operate and maintain these systems sustainably.
Responsibilities
- Design end-to-end agentic AI architectures, including workflow orchestration, state management, tool integration and human approval points.
- Develop AI agents that identify, generate and prioritise evidence-linked emerging fraud and abuse risks for officer review.
- Build agent workflows that assess data feasibility, propose risk indicators and features, and support the development of fraud detection logic.
- Integrate AI workflows with enterp