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 Agent 1 (cross -reconciliation across PCM/BHI/RPM/CCM), advance Agent 2 through its deployment phases, and mature Agent 3 from build
to production readiness.

- Data
Pipeline Integration: Work closely with the data engineering team to




process structured and unstructured data via Snowflake (Snowpark /
Python APIs) and ensure data compliance with HIPAA standards for
handling Protected Health Information (PHI).

- System
Performance & Evaluation: Establish strict evaluation frameworks
(evals) for LLM outputs to guarantee clinical safety, accuracy, and
mitigation of hallucinations in triage recommendation queues.