AI Engineer (LLMs for Healthcare)
Keebler Health · Remote
- Last confirmed live
- 2 days ago
What this role involves
Keebler Health is building an operating system for value-based care. They are seeking a mid to senior AI Engineer to fine-tune LLMs for healthcare applications, implement RAG systems, and deploy AI models. The role requires expertise in LLMs, Python, healthcare standards, and MLOps.
Skills this posting asks for
- llm fine-tuning
- prompt engineering
- python
- huggingface
- pytorch
- rag
- knowledge graphs
- mlops
- mlflow
- langfuse
- fhir
- hipaa
- hl7
- hedis
- aws
- gcp
- azure
- docker
- kubernetes
Requirements
- Level: mid
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Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.
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