Product‑Focused Generative AI Engineer

cardinalhealth

United States

On-site

USD 95,000 - 122,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental and vision coverage
Paid time off
401k savings plan
Health savings account
Disability coverage
Work-Life resources
Paid parental leave
Flexible spending accounts

Job summary

Cardinal Health in the United States is seeking a product-oriented AI/ML Engineer to design and deliver enterprise-scale Generative AI solutions, including LLMs, RAG, AI Agents, and conversational experiences. You will collaborate across product, software, data engineering and business teams to translate complex problems into scalable AI systems.

The ideal candidate combines strong software engineering fundamentals with AI expertise, has 4–8 years in related roles, and is proficient in Python,

Qualifications

  • 4–8 years in Software/ML/AI engineering or related fields.
  • Bachelor's degree in CS/Engineering/Data Science or related discipline.
  • Strong Python skills and production-grade app experience.
  • Experience building REST APIs and working with Agile teams.
  • Familiarity with Docker, Kubernetes, and cloud platforms.

Responsibilities

  • Design and deliver enterprise-scale Generative AI solutions.
  • Develop LLMs, RAG, AI Agents, and conversational experiences.
  • Collaborate across product, software, data engineering and business teams.
  • Transform business problems into scalable AI systems.

Skills

Python
AI/ML fundamentals
REST APIs
Agile SDLC
Communication

Education

Bachelor's degree in CS/Engineering/Data Science/AI

Tools

Docker
Kubernetes
GitHub
CI/CD tools
Cloud platforms (GCP/AWS/Azure)

Job description

Cardinal Health in the United States is seeking a product-oriented AI/ML Engineer to design and deliver enterprise-scale Generative AI solutions, including LLMs, RAG, AI Agents, and conversational experiences. You will collaborate across product, software, data engineering and business teams to translate complex problems into scalable AI systems.

The ideal candidate combines strong software engineering fundamentals with AI expertise, has 4–8 years in related roles, and is proficient in Python,

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