Keebler Health

AI Engineer (LLMs for Healthcare)

Remote (United States)

Sponsorship not specifiedDetected 20 days ago

PythonAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningPyTorchLLMsRAGMLOpsComplianceHIPAAHL7/FHIRCollaborationProblem Solving

About the role

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.
MLOps & Deployment Develop and maintain scalable, production-ready AI pipelines using MLOps tools.
Optimize infrastructure for efficient training, testing, and deployment of models.

Proven experience in LLM fine-tuning and advanced prompt engineering.
Hands-on experience with retrieval-augmented generation (RAG) techniques.
Expertise in evaluating AI models using performance metrics like precision, and recall.
Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Preferred Skills Experience with MLOps frameworks such as MLflow, Langfuse, or similar tools.

Competitive salary and benefits package.
Chance to make a meaningful impact on the healthcare industry.
About Keebler Health Keebler Health is building the operating system for value-based care.
Our mission is to help risk-bearing healthcare organizations thrive in value-based arrangements by unlocking the full power of their data.
We empower leading primary care groups, ACOs, and health plans to act on real-time insights that improve outcomes, reduce costs, and fuel sustainable growth.
As a member of the team, you won't just write code or stay in your lane-you'll shape critical systems, innovate quickly, and set a high bar for a product that supports the future of U.S. healthcare.
The ideal candidate will bring a deep understanding of healthcare-specific challenges and modern AI techniques to drive innovation in Value-Based Care solutions.
AI/ML Engineering Fine-tune and optimize large language models (LLMs) to address specific healthcare applications.
Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced decision-making.
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).

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.
We're a fast-moving, high-performing team, and we're looking for people who share our bias toward speed, urgency, and excellence.

This listing is sourced directly from Keebler Health's careers page and normalized into a canonical job model.