Design, build, and ship production AI systems and platform infrastructure across distributed compute, data pipelines, backends, frontends, and observability. Develop and improve multi-agent systems, inference infrastructure, benchmarks, verification pipelines, and feedback loops to improve agent quality, cost, latency, and robustness for drug-discovery workflows.