AI Engineer – LLMs for Healthcare
Keebler Health
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
LLM fine-tuningprompt engineeringPythonHuggingfacepyTorchretrieval-augmented generationperformance metricsprecisionrecall
Soft skills
collaborationcommunication