AI Engineer – LLMs for Healthcare

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🕒 January 9

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Keebler Health

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

☁️ SaaS

Artificial Intelligence • Healthcare Insurance • SaaS

Keebler Health is an AI-first risk adjustment platform designed to improve accuracy and provide clinical decision support for risk-bearing healthcare organizations. The platform uses a next-generation transformer tailored for risk adjustment to surface HCC coding opportunities with transparency, confidence scores, evidence and counterfactual explanations, and to support CDI, coding, audit, and pre-visit planning workflows. It integrates diverse data sources (FHIR, HIE, faxes, and other messy data) and is delivered as an enterprise SaaS solution for health insurers and provider organizations.

📋 Description

• 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. • 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).

🎯 Requirements

• Proven experience in LLM fine-tuning and advanced prompt engineering. • Strong background in Python and modern ML frameworks (e.g., Huggingface, pyTorch). • Familiarity with healthcare workflows and regulatory requirements (e.g., HIPAA, FHIR standards). • Hands-on experience with retrieval-augmented generation (RAG) techniques. • Expertise in evaluating AI models using performance metrics like precision, and recall.

🏖️ Benefits

• Competitive salary and benefits package. • Opportunity to work in a fast-paced, innovative environment. • Professional growth and development opportunities. • Collaborative and supportive team culture. • Chance to make a meaningful impact on the healthcare industry.