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Keebler Health · 4 days ago

AI Engineer (LLMs for Healthcare)

United States

Full-time

Remote

Mid, Senior Level

Keebler Health is building the operating system for value-based care, aiming to empower healthcare organizations with data-driven insights. The AI Engineer will develop and optimize large language models for healthcare applications, collaborating with professionals to enhance workflows and ensure compliance with healthcare standards.

Artificial Intelligence (AI)BillingInformation Technology

Responsibilities

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

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

Develop and maintain scalable, production-ready AI pipelines using MLOps tools

Deploy and monitor AI models in production environments to ensure performance and compliance

Optimize infrastructure for efficient training, testing, and deployment of models

Stay at the forefront of advancements in AI, especially in healthcare applications

Identify and resolve performance bottlenecks in AI workflows

Explore emerging trends and technologies in LLMs and healthcare to continually improve solutions

Partner with cross-functional teams, including data engineers and clinicians, to ensure seamless integration of AI into healthcare workflows

Communicate technical results and insights effectively to non-technical stakeholders

Qualification

LLM fine-tuningPythonMLOps frameworksHealthcare workflowsRetrieval-Augmented GenerationPerformance metricsCloud platformsContainerizationProblem-solving