AI Full-Stack Engineer for Healthcare AI Solutions

CoverMyMeds LLC; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Annual bonus opportunities

Long-term incentive opportunities

Job summary

McKesson is seeking an AI Full Stack Software Engineer to design, develop, and deploy end-to-end AI-powered solutions across the full stack. You will integrate LLMs, audio/image processing, and data pipelines into healthcare products, while collaborating with product teams.

Ideal candidates have 2+ years in AI-enabled development, strong Python/Node.js skills, and hands-on experience with cloud platforms and DevOps tools such as Git, Docker, and Kubernetes.

Qualifications

• Minimum 2+ years of software development experience.
• 2+ years building AI-enhanced apps using LLMs, voice, image, or speech models.
• B.S. degree in CS or related field, or equivalent experience.

Responsibilities

• Develop and deliver AI-driven software applications.
• Build scalable apps integrating LLMs and AI tools into codebases.
• Design data pipelines and datasets for AI development and testing.
• Communicate AI concepts to non-technical audiences.
• Prototype co-pilot experiences and autonomous workflows.
• Document code and applications thoroughly.
• Collaborate with staff and stakeholders on large projects.

Skills

AI system evaluation

RAG development

LLM cost optimization

LLM knowledge

Analytical skills

AI coding tools

Python & libraries

Node.js

Cloud expertise

Git & Docker

Education

B.S. in Computer Science or related engineering

Tools

Git

Docker

Kubernetes

Express.js

LangChain/LlamaIndex

AWS/GCP/Azure

Job description

McKesson is seeking an AI Full Stack Software Engineer to design, develop, and deploy end-to-end AI-powered solutions across the full stack. You will integrate LLMs, audio/image processing, and data pipelines into healthcare products, while collaborating with product teams.

Ideal candidates have 2+ years in AI-enabled development, strong Python/Node.js skills, and hands-on experience with cloud platforms and DevOps tools such as Git, Docker, and Kubernetes.