Description

You will drive advanced AI and NLP development for complex agent systems.

Responsibilities

• Develop AI agent architectures and implement A2A Protocols and Model Context Protocols (MCP).
• Build and fine-tune LLMs and NLP models, specifically within healthcare contexts.
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Process and manage healthcare data using standards like FHIR, HL7, ICD/CPT, and X12 EDI.

Required Skills

• 7+ Years experience developing AI agent architectures and LLMs/NLP.
• 7+ Years experience with RAG implementation.
• 7+ Years proficiency in Python and ML/NLP libraries.
• 7+ Years experience with healthcare data standards (FHIR, HL7, ICD/CPT, X12 EDI).
• Experience with AWS, Azure, or GCP.
• Proficiency with Kubernetes and Docker.
• Experience with CI/CD practices.
• 12+ years of professional experience required.

Preferred Skills

• Deep understanding of MCP and Vector DB integration for agent memory.
• Prior work deploying LLM-based agents in production healthcare systems.

Key Skills

Education

Any Gradute