AI Engineer (LLMs for Healthcare)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

We are seeking a mid to senior level AI Engineer to develop and fine-tune large language models for healthcare applications, implement retrieval-augmented generation, and collaborate with clinicians to integrate AI into value-based care workflows. You’ll build production-ready AI pipelines, work with healthcare data standards (FHIR/HL7), and optimize ML deployments in a regulated healthcare environment.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Fine-tune and optimize large language models (LLMs) for healthcare applications, including prompt engineering and RAG systems.
•Collaborate with healthcare professionals to understand workflows and design AI models aligned with healthcare standards and HIPAA compliance.
•Develop and maintain scalable, production-ready AI pipelines and deploy models in production environments with MLOps practices.
•Integrate healthcare data standards (FHIR, interoperability standards) into AI solutions and leverage knowledge graphs for decision support.
•Identify performance bottlenecks, explore new AI trends in healthcare, and communicate results to both technical and non-technical stakeholders.

Key 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.

Experience:HealthcareAIMachine learningLLMs

Skills:Problem-solvingCollaborationCommunicationCritical thinkingFast learner

Languages:English

Tech Stack:PythonHuggingFacePyTorchRAGFHIRHL7MLflowLangfuseAWSGCPAzureDockerKubernetesHIPAAData standards

Company Brief

Keebler Health

Keebler Health develops digital health solutions focused on improving patient outcomes through technology-driven care management, remote monitoring, and clinician support tools tailored for chronic disease management and care coordination.

Industry: HealthTech

Website

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Keebler Health

5 months ago

AI Engineer (LLMs for Healthcare)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Fine-tune and optimize large language models (LLMs) for healthcare applications, including prompt engineering and RAG systems.
•Collaborate with healthcare professionals to understand workflows and design AI models aligned with healthcare standards and HIPAA compliance.
•Develop and maintain scalable, production-ready AI pipelines and deploy models in production environments with MLOps practices.
•Integrate healthcare data standards (FHIR, interoperability standards) into AI solutions and leverage knowledge graphs for decision support.
•Identify performance bottlenecks, explore new AI trends in healthcare, and communicate results to both technical and non-technical stakeholders.

Key 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.

Experience:HealthcareAIMachine learningLLMs

Skills:Problem-solvingCollaborationCommunicationCritical thinkingFast learner

Languages:English

Tech Stack:PythonHuggingFacePyTorchRAGFHIRHL7MLflowLangfuseAWSGCPAzureDockerKubernetesHIPAAData standards

Company Brief

Keebler Health

Industry: HealthTech

Website