AI/ML Eng - ARTIFICIAL INTELLIGENCE SPECIALIST

AI/ML Eng

Work location- Paya Lebar

1. Design and build Python-based agentic AI workflows using LangGraph, CrewAI, or equivalent, with tool integration, state management, and human approval steps.
2. Build an AI agent that analyses approved sources to identify and prioritise emerging fraud risks, with supporting evidence for officer review.
3. Build a second agent that checks data availability and translates validated fraud risks into candidate indicators, features, and detection rules.
4. Integrate both agents with FAM 2.0 using AWS Redshift, AWS Glue, and PySpark for data preparation and feature engineering.
5. Deploy modular, tested AI services and APIs using CI/CD, with automated validation and release controls for code, prompts, and workflows.
6. Evaluate output quality and reproducibility, implement audit trails and prompt-injection safeguards, and monitor latency, errors, and operating costs.