Staff AI Machine Learning Engineer
Core
Design, build, test, evaluate, and productionize next-generation autonomous AI agents for healthcare and clinical research.
Role type
Staff AI Machine Learning Engineer (Agentic AI)
Builds
Production-grade agentic AI systems, workflows, and infrastructure for healthcare and clinical research.
Domain
Healthcare, Clinical Research, Life Sciences
Deliverable
production ML models
Required skills
Agentic AI system design, multi-agent orchestration, LLM fine-tuning, prompt engineering, vector databases, observability, automated evaluation pipelines, reasoning algorithms (ReAct, CoT, ToT), tool-calling, RAG pipelines, HIPAA compliance knowledge
Preferred skills
Multi-cloud experience (AWS, Azure, GCP), experience with healthcare data (EHRs, claims), publication record in top AI/ML conferences
Technologies
LangChain, LangGraph, Model Context Protocol (MCP), Agent-to-Agent (A2A), Hugging Face, PyTorch, LangSmith, Phoenix
Responsibilities
Lead design and architecture of advanced agentic AI systems; Build and own production-grade agent infrastructure; Develop rigorous evaluation and safety frameworks; Drive LLM and ML model development; Shape Medeloop's agentic AI strategy and roadmap; Stay at the cutting edge of agentic AI
Seniority
Staff, hands-on IC with strategic influence
