It runs applied research (ML and agentic/LLM systems, planning, simulation and evaluation), rapid prototyping and production engineering (APIs, CI/CD, observability, data platforms and cost/latency optimisation), and rigorous evaluation and safety work (benchmarks, red-teaming, monitoring, governance and compliance). * Apply strong software engineering practices (testing, CI/CD, monitoring, structured logging, versioning of prompts and models) to ensure reliability and maintainability of AI systems. * , monitoring, evaluationand operational stability.
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