Gen AI Engineer
Chicago, IL
Long Term Contract
Responsibilities and Tech Stack
• Design and maintain enterprise knowledge graphs integrating clinical, medical, commercial, and patient services data.
• Model complex Life Sciences ontologies (e.g., SNOMED CT, ICD, RxNorm, MedDRA, HL7/FHIR).
• Build semantic layers enabling intelligent search, reasoning, and context-aware GenAI applications.
• Implement graph-based retrieval for RAG and contextual grounding of LLMs.Hands-on experience with:
• LLMs (OpenAI, Azure OpenAI, Llama, Claude, etc.)
• Knowledge Graphs (Neo4j, RDF/OWL, GraphDB, TigerGraph)
• RAG architectures, embeddings, vector databases
• Python, PyTorch/TensorFlow, LangChain, LLMOps
• Strong understanding of Life Sciences data models and patient services workflows.
• Experience with cloud platforms and MLOps tools.
