Senior Software Engineer – AI Infrastructure
- Location
- United Kingdom
safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards. This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust … Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring Define guardrails, observability, and failure handling for agent-driven workflows Optimize latency, throughput, and cost across inference and orchestration layers Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems Contribute ...