AI Full-Stack Engineer for Healthcare AI Solutions

McKesson

Alpharetta (GA)

On-site

USD 110,000 - 160,000

Full time

14 days+

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Job summary

McKesson is seeking an AI Full Stack Software Engineer to design, develop, and deploy AI-powered healthcare solutions. You will work across the full stack from front-end interfaces to back-end AI model integration and data pipelines.

The role focuses on building scalable AI applications with LLMs, vector databases, and RAG, while collaborating with cross-functional teams to deliver enterprise-grade software. Strong Python, Node.js, and cloud experience are required.

Qualifications

  • Minimum 2+ years of software development experience.
  • 2+ years building AI-enabled applications with LLMs or related models.
  • BS in CS or related field, or equivalent experience.

Responsibilities

  • Develop and deliver AI-driven enterprise software.
  • Integrate LLMs, voice/image/text tools into apps and data pipelines.
  • Design data pipelines and datasets for AI development and testing.
  • Communicate AI concepts to non-technical audiences.
  • Refine prompts, implement caching, and optimize performance.
  • Maintain prompt libraries and benchmark results.
  • Fine-tune and serve GPT-family and Llama models.
  • Develop AI agents and autonomous workflows with Semantic Kernel.

Skills

AI System Eval
RAG Development
LLM Cost Optim
LLM Knowledge
Analytical Skills
AI Coding Tools
Python & AI Libs
Healthcare AI
Node.js Apps
Cloud (AWS/GCP/Azure)
Git & CI/CD
Docker & Kubernetes
Communication

Education

Bachelor's degree in Computer Science or related engineering

Tools

LangChain
LlamaIndex
OpenAI API
TensorFlow
PyTorch
Express.js

Job description

McKesson is seeking an AI Full Stack Software Engineer to design, develop, and deploy AI-powered healthcare solutions. You will work across the full stack from front-end interfaces to back-end AI model integration and data pipelines.

The role focuses on building scalable AI applications with LLMs, vector databases, and RAG, while collaborating with cross-functional teams to deliver enterprise-grade software. Strong Python, Node.js, and cloud experience are required.

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