Deploying and operating AI systems reliably in production Data Engineering • Ingesting data from heterogeneous sources (APIs, RSS, web scraping) • Data modelling, pipelines, and transformation • PostgreSQL, vector databases, and medallion-style layering (raw → cleaned → served) Enterprise Infrastructure • Multi-tenant SaaS architecture • Cloud deployment • Security, authentication flows, and production reliability You should … made • Have strong core engineering fundamentals and the ability to learn new languages quickly (our current stack includes TypeScript/React, Python, and PostgreSQL) • Already use AI coding tools (e.g. Cursor, Claude Code, Copilot) to materially increase output • Thrive being given problems and architecting solutions, not waiting for project specs ...