AI Engineer (Agentic AI) in Cornwall

Job Description ·We are looking for a Gemini Enterprise Agent Engineer** to lead the design, development, and governance of enterprise AI agents built on Gemini Enterprise and Gemini models. ·This role owns the full lifecycle of agent development — from architecture and grounding to deployment, evaluation, and ongoing governance — ensuring agents are accurate, safe, compliant, and trusted enough to run in production across the business. ·You'll be the go-to expert for building agents on Gemini Enterprise (agent design, orchestration, grounding, connectors) and for establishing the governance frameworks — access control, evaluation, auditing, and responsible‑AI guardrails — that keep those agents reliable at scale. ·Underlying cloud infrastructure runs on Google Cloud Platform (GCP), so working familiarity with GCP is helpful for collaborating with the platform team Key Responsibilities Gemini Enterprise Agent Development oDesign, build, and own multi-agent solutions on Gemini Enterprise (formerly Agentspace) — agent architecture, orchestration, task/tool design, and multi-turn conversation flows. oConfigure grounding, enterprise search, and data connectors so agents retrieve accurate, up-to-date, and properly-scoped information. oIntegrate Gemini models (via the Gemini API and/or Vertex AI) into agents and downstream applications, tuning prompts, context strategies, and tool/function calling for reliability. oDesign and productionize RAG pipelines and retrieval strategies that feed agent grounding sources. oContinuously evaluate and iterate on agent quality — accuracy, relevance, latency, and cost — using structured evaluation frameworks. AI Governance