Senior Applied AI Engineer

Scale · Kuwait City Scale's Global Public Sector team uses AI to address critical challenges facing the public sector worldwide. As a Senior Applied AI Engineer, you will own the AI behaviour of production systems that clients depend on. Responsibilities Own the AI layer of production systems for public sector clients, including agents, model integration, and backend services. Build production agents from established architectural patterns with reliable tool calling, guardrails, and observability. Select and adapt evaluation methods, designing new evaluations for client-specific risks where needed. Apply techniques such as context engineering, retrieval-augmented generation, model adaptation, or inference optimisation. Investigate regressions, lead root-cause analysis, and implement preventative changes. Lead project planning and manage client expectations on scope, risk, and delivery. Codify recurring client work into reusable tooling, evaluation components, or guidance. Mentor engineers through code review, pairing, and delegated ownership. Requirements Backend engineering experience with a track record of taking AI/ML systems into production. Experience owning the AI behaviour of a production system end-to-end. Experience designing evaluations that tie model behaviour to real-world outcomes. Experience leading root-cause analysis on a production AI or ML system. Comfort working directly with clients, explaining model behaviour and trade-offs. Experience handling regulated or sensitive data and designing for auditability.