AI/LLM Technical Lead

Responsibilities

• Lead architecture, design, and implementation of LLM-based and agentic AI systems for clinical and operational use cases.
  
• Oversee the development of multi-agent orchestration frameworks (reasoning, planning, and task execution) using tools such as LangGraph, CrewAI, or Semantic Kernel.
  
• Build scalable RAG pipelines and retrieval systems using vector databases (Pinecone, FAISS, Weaviate, Vertex AI Matching Engine).
  
• Guide engineers on prompt design, model evaluation, multi-step orchestration, and hallucination control.
  
• Collaborate with product managers, data engineers, and designers to align AI architecture with business goals.
  
• Manage end-to-end AI lifecycle — data ingestion, fine-tuning, evaluation, deployment,...