• Design and build the infrastructure layer powering AI agent systems in production • Develop high-performance Rust services that handle model inference, orchestration, and execution • Architect scalable systems capable of supporting millions of users and high request throughput • 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 to foundational infrastructure decisions in a high-scale, high-impact environment