Prototyping - Rapidly engineer end-to-end proof-of-concepts, spanning frontend, backend, infrastructure, and AI components, to validate ideas before broader rollout. Agentic & LLM-Based Systems - Build and experiment with agentic workflows, LLM-driven systems, retrieval-augmented generation (RAG), and tool-using agents integrated with internal platforms (e.g. Slack, APIs … patterns, and best practices for AI usage across the engineering organisation, helping lift overall capability. Continuous Learning - Stay current with developments in AI tooling, LLM ecosystems, and software engineering practices, and proactively assess where they can deliver real value. About You Strong full-stack engineering background, with experience building production ...