Partner with clinics to design and implement a Tauri/Rust desktop client and Python cloud backend, build scalable infrastructure for concurrent AI agents, manage cloud (AWS/GCP) CI/CD and container deployments, and ensure HIPAA/SOC-2 compliant security, monitoring, and secrets management.

Lead design and implementation of post-training alignment pipelines (SFT, RLHF, RLAIF) using proprietary medical data. Improve model calibration, safety, and clinical correctness via novel techniques, distributed training on GPU clusters, and rigorous evaluation frameworks. Collaborate with co-founders to define research roadmap and ship production-ready ML systems.