Overview
Skills
Job Details
Required Skills & Experience
7+ years of applied AI / ML experience, particularly in LLMs, transformers, agents, or NLP.
Hands-on experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI, or equivalent).
Practical experience implementing Model Context Protocols (MCP) for long-lived conversational memory and modular agent interactions.
Proficient in Python; deep familiarity with ML / NLP libraries such as Hugging Face Transformers, PyTorch, spaCy, etc.
Solid understanding of healthcare benefit systems, plan structures, claims data, eligibility rules.
Knowledge of healthcare data standards: FHIR, HL7, ICD/CPT, X12 EDI etc.
Experience deploying AI systems in cloud environments (AWS, Azure, or Google Cloud Platform), with containerization (Docker), orchestration (Kubernetes), CI/CD pipeline setup and monitoring.