Job Description
- Design, develop, and deploy LLM-based applications for clinical and operational workflows (summarization, chat, reasoning, data extraction). - Implement and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (FAISS, Pinecone, or Vertex AI Matching Engine). - Work hands-on with LLM APIs (OpenAI, Claude, Gemini, Mistral, Llama) for fine-tuning, evaluation, and productionization. - Build and maintain AI microservices / APIs using FastAPI or Flask, integrated with Folds Unity platform. - Implement Agentic AI workflows (multi-step reasoning, tool use, and task orchestration) using frameworks such as LangGraph, CrewAI, or Semantic Kernel. - Collaborate with the Data Engineering and Product teams to ensure seamless integration of models with curated EHR and FHIR data. - Conduct model evaluation and benchmarking (factual accuracy, hallucination control, latency). Follow HIPAA-compliant development practices and ensure PHI safety and responsible AI usage Requirement...
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