Are you passionate about the intersection ofGenerative AIandHealthcare?
We are looking for anAI Prompt Engineerto lead the design and optimization of LLM workflows.
You will play a pivotal role in transforming complex pharmaceutical contracts and medical forms into structured, actionable data using state-of-the-art GenAI solutions.
Key Responsibilities
Prompt Design & Optimization:Create and refine system messages for clause extraction, summarization, and classification of pharmaceutical documents.
Workflow Engineering:Configure LLM workflows and RAG pipelines to extract key entities from enrollment forms, benefit verifications, and legal amendments.
System Development:Build document ingestion processes usingPython (FastAPI/Django)and vector search technologies.
Quality Assurance:Maintain prompt libraries and evaluation frameworks to minimize hallucinations and ensure compliance with medical standards.
Collaboration:Work alongside legal, compliance, and pharmacy operations teams to align AI outputs with business requirements.
Required Qualifications
Prompt Engineering Expertise:Proven track record in document processing and extraction using LLMs.
Domain Knowledge:Familiarity with healthcare, pharmacy, or pharmaceutical access documentation.
Technical Stack:Strong proficiency inPython(FastAPI/Django/Pydantic) and experience withDocker/Git.
GenAI Fundamentals:Deep understanding of RAG, embeddings, and LLM evaluation methodologies.
Agile Mindset:Experience working in sprint-based environments with CI/CD integration.
Why Join Us?
Apply your AI expertise to solve real-world challenges in the pharmaceutical sector, improving patient access to specialty medications through cutting-edge technology.