Description
SHIELD is hiring an AI Engineer to build and maintain AI-powered systems for proactive fraud detection, including LLM-based and agentic workflows, RAG pipelines, prompt and evaluation development, production feature prototyping, data-signal integration, testing, and documentation. The role requires a bachelor's degree in computer science or a related field or equivalent practical experience, strong Python proficiency, experience with LLM APIs and production software, relational-database experience, and familiarity with Git. Vector databases, structured LLM outputs, token optimization, evaluation frameworks, caching systems, and fraud-detection experience are preferred.
