Senior Agentic AI Engineer

The role involves designing multi-agent systems for autonomous reasoning, planning, and task execution, delivering solutions for various use cases such as knowledge retrieval and automation. Candidates should have strong Python skills, experience with RAG pipelines and vector databases, and familiarity with cloud platforms like GCP. The position requires knowledge of agent frameworks and LLM fundamentals, with the ability to evaluate and optimise AI agents for performance and cost. Collaboration with engineering and business teams is essential to develop scalable, compliant solutions that meet regulatory standards. The role is within a rapidly evolving field, prioritising practical experience and technical expertise over years of industry tenure. Responsibilities include monitoring agent performance, managing pipelines, and leveraging enterprise-grade managed services.