Remote AI Engineer (LLMs for Healthcare)
Keebler Health
Job Description
About the role We are seeking a talented and motivated mid to senior level AI Engineer with expertise in developing and fine-tuning large language models (LLMs), healthcare workflows, and AI/ML engineering best practices. The ideal candidate will bring a deep understanding of healthcare-specific challenges and modern AI techniques to drive innovation in Value-Based Care solutions. Level and salary will commensurate with experience.
Key Responsibilities AI/ML Engineering Fine-tune and optimize large language models (LLMs) to address specific healthcare applications. Develop and apply advanced prompt engineering techniques to enhance model outputs for clinical scenarios. Implement Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets.
Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced decision-making. Evaluate black-box models using precision, recall, and other performance metrics, ensuring robustness and reliability. Healthcare Expertise Collaborate with healthcare professionals to understand workflows and identify opportunities for AI-driven enhancements.
Design and build AI models that align with healthcare standards and regulations (e.g., HIPAA compliance). Integrate domain-specific knowledge of healthcare data, including FHIR and interoperability standards, into AI solutions. MLOps