Data Scientist, Applied AI
Core
Implement and test LLM, RAG, and agent-based workflows for practical generative AI applications in healthcare.
Role type
Senior IC applied AI data scientist
Builds
Production-ready AI workflows using LLMs, RAG, and agents for healthcare use cases
Domain
Healthcare + Generative AI
Deliverable
production ML models
Required skills
Python, LLM development, RAG pipelines, embedding models, semantic search, agent frameworks (PydanticAI, LangGraph), evaluation metrics, test case design, cloud ML platforms
Preferred skills
Databricks, production deployment, fine-tuning, distributed processing, healthcare data
Technologies
LLMs, RAG, PydanticAI, LangGraph, Databricks, Git
Responsibilities
Build and test LLM, RAG, and tool-using agent workflows; Compare LLMs and retrieval methods against quality, reliability, latency, and cost; Create and update benchmark datasets and regression checks; Tune RAG pipelines including embeddings, retrieval, and reranking; Investigate workflow failures and implement improvements; Monitor systems using experimentation and observability tools
Seniority
Senior, hands-on IC