Description:
7+ years in applied AI, deep expertise in LLMs, transformers, multi-agent frameworks, or NLP within healthcare or related domains. Demonstrated hands-on experience using Agent-to-Agent (A2A) protocols and Model Context Protocols (MCP) to build interoperable agent ecosystems. Advanced Python development skills, with proficiency in Hugging Face Transformers, PyTorch, LangChain, spaCy, etc. Strong understanding of healthcare benefit systems, claims data workflows, eligibility rules, and regulatory
Aug 5, 2025;
from:
dice.com