Keebler Health

Keebler Health is an AI-first risk adjustment platform for providers and payers that are at risk for Medicare & Medicaid lives. Through a custom-built, transformer AI model, Keebler Health quickly uncovers risk adjustment opportunities with minimal encounter data.

AI Engineer – LLMs for Healthcare

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 1-10H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

66 days ago

Salary

Not specified

Bachelor DegreeEnglishPythonPy Torch

Job 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).

Job 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.

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