AI Full-Stack Engineer - Healthcare AI Innovator

McKesson Corporation; Atlanta (GA); On-site; USD 110,000 - 184,000; Full time

Job summary

McKesson is seeking a highly skilled 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.

Responsibilities include building AI-driven applications with LLMs, designing data pipelines, optimizing prompts, and ensuring code quality. You will collaborate with product, security, and DevOps teams to deliver scalable, compliant software.

Qualifications

• Minimum 4+ years in software development.
• B.S. degree in Computer Science or related engineering discipline, or equivalent experience.

Responsibilities

• Develop and deliver AI-driven enterprise quality software applications.
• Build scalable applications integrating LLMs and AI tools into codebases.
• Design and optimize data pipelines for AI system development and testing.
• Communicate AI concepts to non-technical audiences.
• Iteratively craft prompts and maintain prompt libraries.
• Fine-tune and serve GPT-family models.
• Prototype co-pilot experiences and autonomous workflows.
• Document code and application-level work.

Skills

AI-driven software engineering

Python

LLMs

RAG development

LangChain/LlamaIndex

vector databases

Git

Docker

Kubernetes

Node.js (Express.js)

Cloud (AWS/GCP/Azure)

Education

B.S. in Computer Science or related engineering

Tools

OpenAI API

TensorFlow/PyTorch

LangChain

LlamaIndex

Job description

McKesson is seeking a highly skilled 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.

Responsibilities include building AI-driven applications with LLMs, designing data pipelines, optimizing prompts, and ensuring code quality. You will collaborate with product, security, and DevOps teams to deliver scalable, compliant software.