About the Role
This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production‑grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency.
THE COMPANY:
They are a technology‑led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best‑practice from day one.
THE ROLE:
Build and operate production‑ready AI agents on GCP
Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling.
Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy.
Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance.
Shape engineering standards, patterns and tooling as part of a new AI function.
YOUR SKILLS AND EXPERIENCE:
Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery.
Deep hands‑on expertise with GCP services
Strong Python skills
Practical experience with LLMs, embeddings, RAG architectures and vector databases.
A track record of building production‑grade AI systems, including observability, evaluation and automated testing.
DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling.