Sr AI Context Engineer
Core
Transform raw enterprise information (policy docs, clinical records) into accurate, high-quality context for AI applications via extraction, chunking, and retrieval optimization.
Role type
Senior IC AI Context Engineer (RAG & Vector Search)
Builds
Context layers, vector indexing strategies, and retrieval frameworks for GenAI tools
Domain
Healthcare / Applied Data Science / GenAI
Deliverable
production ML models
Required skills
Python, SQL, RAG architecture, vector databases, unstructured content parsing, evaluation frameworks, data security
Preferred skills
Model Context Protocol (MCP), hybrid search, metadata routing, HIPAA compliance
Technologies
Pinecone, pgvector, Azure AI Search, LlamaIndex, LangChain, Ragas, TruLens, Airflow, Prefect
Responsibilities
Build extraction and chunking workflows for PDFs and clinical notes; implement hybrid search and reranking logic; design vector indexing strategies and metadata tagging; establish retrieval evaluation frameworks; ensure HIPAA/HITRUST compliance and RBAC for context access; maintain audit logs for prompt payloads.
Seniority
Senior, hands-on IC