Senior ML Engineer, Agentic AI
Core
Design, build, and deploy frontier agentic AI systems and orchestration pipelines for clinical applications, bridging research to production.
Role type
Senior IC agentic AI systems architect
Builds
Scalable agentic AI systems, multi-agent orchestrations, and production-grade clinical applications
Domain
Healthcare + Agentic AI / LLMs
Deliverable
production ML models
Required skills
Python, distributed machine learning, LLM application architecture, multi-agent orchestration, post-training fine-tuning, automated prompt optimization, quantitative evaluation frameworks, data curation pipelines
Preferred skills
PhD in CS/AI/ML, 8+ years in scalable ML infrastructure, technical leadership, experience in regulated industries (healthcare/fintech/aerospace), publications at top-tier ML venues
Technologies
PyTorch, JAX, TensorFlow
Responsibilities
Define technical vision for agentic AI roadmap, design scalable agentic architectures with deep reasoning and dynamic memory, implement research-to-production translation for LLMs, build evaluation frameworks and LLM-as-a-judge rubrics, develop automated data curation pipelines, collaborate with clinical experts on safety, mentor engineering teams
Seniority
Senior, hands-on IC with leadership
