across whole teams (e.g. coding assistants, test generation, code review support, documentation acceleration, internal dev workflows) Building products and platforms that incorporate AI/LLM features, safely and pragmatically While a detailed scientific understanding of ML and AI theory is helpful, the primary goal is delivery: shipping the right thing … including both: AI tooling to support development (e.g. coding assistants, test generation, refactoring support, documentation acceleration, internal workflows) Building products that incorporate AI/LLM features (e.g. assistants/coplots, summarisation, document understanding, semantic search/RAG, extraction, classification, decision support, workflow automation) Strong engineering fundamentals You build with ...