Role Overview: We are seeking a highly skilled AI/ML Engineer to lead the development, scaling, and productionization of our advanced AI Agent ecosystem. In this role, you will be responsible for orchestrating multi-agent LLM systems and developing machine learning models to analyze complex clinical data for our maternal-care platform. You will directly oversee and mature three critical intelligent agents: Agent 1 production billing reconciliation and payer eligibility), Agent 2 navigation automation), and Agent 3 clinical pattern recognition executing against an 11K+ escalation corpus). Key Responsibilities: Agent Orchestration: Design, build, and optimize multi-agent workflows using TypeScript/Node.js to call enterprise LLM APIs. ML Pattern Recognition: Develop and train specialized Python-based machine learning pipelines to ingest and detect anomalies, trends, and risk indicators within an 11K+ clinical escalation corpus. Agent Lifecycle Management: Maintain and iteratively improve ...