Job Overview
- Collaborate with Data Engineering teams to build and maintain scalable, HIPAA‑compliant data pipelines using Python, SQL, Spark, and Databricks to support healthcare AI use cases
- Optimize databases and queries across relational systems and data warehouses to enable low‑latency access for AI applications
- Design and deploy retrieval‑augmented generation (RAG) systems to deliver grounded, reliable insights for clinical and administrative workflows
- Develop agentic AI workflows and NLP solutions to extract value from unstructured clinical data
- Rapidly prototype and demo AI tools using Streamlit and integrate workflows into operational systems using low‑code tools
- Deploy, evaluate, and optimize AI systems using Docker, FastAPI, and metric‑driven performance monitoring to ensure production reliability and minimize hallucinations
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