AI Engineer

• Build and improve LLM-powered analytics features, including agentic workflows, natural-language querying, RAG, and tool use over structured and unstructured data
• Contribute to text-to-SQL and semantic-layer systems for safe, accurate querying of healthcare datasets
• Develop retrieval pipelines using vector search and hybrid keyword-semantic search
• Implement evaluation, guardrails, and hallucination checks for healthcare-domain accuracy
• Enforce data-governance and compliance controls, including derived-insights-only access and no PHI/PII exposure
• Integrate warehouses, campaign platforms, web sources, and document repositories into agent workflows
• Deploy and maintain AWS services while monitoring model performance, latency, and cost
• Collaborate with product, analytics, and senior engineers to translate requirements into shipped features
• Own well-defined components end-to-end and grow into larger AI systems