AI full stack Engineer

McKesson; Columbus, Northern (OH, KY); On-site; USD 110,000 - 184,000; Full time

Job summary

McKesson is seeking an AI Full Stack Software Engineer to design, develop, and deploy end-to-end AI-powered solutions across front-end interfaces to back-end model integration and data pipelines.

You will work on AI-driven enterprise software, integrate LLMs, and optimize data pipelines while collaborating with cross-functional teams to deliver impactful healthcare products.

Qualifications

• Minimum 4+ years of experience in Software development.

Responsibilities

• Develop and deliver AI-driven enterprise software.
• Integrate LLMs and AI tools into new and legacy codebases.
• Design and optimize data pipelines for AI systems.
• Communicate modern AI concepts to non-technical audiences.
• Craft prompts to maximize LLM performance and implement caching.
• Maintain prompt libraries and benchmark performance.

Skills

AI-enabled apps

Python

LLMs

AI libraries (OpenAI, TensorFlow, PyT—

Education

B.S. in CS or related engineering discipline

Tools

GitHub Copilot

Cursor

Codeium/Windsurf

Docker

Kubernetes

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people.

We are seeking a highly skilled and motivated AI Full Stack Software Engineer to join our innovative team at CMM. In this role, you will be instrumental in designing, developing, and deploying end-to-end AI-powered solutions that enhance our healthcare products and services. You will work across the full stack, from front-end user interfaces to back-end AI model integration and data pipelines.

Responsibilities

• Develop and deliver AI-driven enterprise quality software applications.
• Build scalable applications integrating Large Language Models and other AI tools (e.g. voice recognition, document parsing, image parsing, text to speech, RAG) into new and legacy codebases
• Design and optimize data pipelines and datasets for AI system development and testing.
• Communicate modern AI concepts (LLMs, vector databases etc.) to non-technical audiences
• Iteratively craft effective prompts to maximize LLM performance and implement prompt caching strategies
• Maintain prompt libraries & benchmark performance
• Fine-tune & serve GPT-family, Llama
• Develop AI agents Semantic Kernel
• Prototype co-pilot experiences & autonomous workflows
• Fully document all work at both the code level and application level.
• The ability to learn and adapt in a changing environment.
• Collaborate with other staff and outside stakeholders on large projects.
• Must be passionate about creating solutions and solving complex problems.

Priority will be given to candidates who reside in the Atlanta, GA, and Columbus, OH metropolitan areas.

We are unable to provide sponsorship for this role presently or in the future.

Minimum Qualifications

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

Critical Skills

• Minimum 4+ years of experience in developing AI-enhanced applications using LLMs, voice, image, or speech models.
• Proficiency in Python and AI related python libraries such as openai, tensorflow, pytorch
• AI System Evaluation & Optimization: Proficient in sensitivity metrics (precision, recall, F1-score, AUC-ROC) and MLOps for scalable, cost-efficient AI deployment.
• RAG Development: Skilled in building RAG systems from scratch or with LangChain/LlamaIndex, using vector databases for context-aware LLM applications.
• Experience using AI coding tools (e.g. Github Copilot, Cursor, Codeium/Windsurf)
• LLM Cost Optimization: Expert in managing LLM costs (token pricing, input/output rates) via prompt caching, batching, and quantization.
• LLM Knowledge: Deep understanding of LLM advancements (GPT-3.5 vs GPT-4 vs o1/"thinking" models) for informed model selection and tuning.

Preferred Skills

• Exceptional analytical skills to extract actionable insights from data
• Healthcare Domain Expertise, Translate clinical/business needs into AI solutions
• Proficiency in creating Node.js web apps (e.g. Express.js)
• Experience with cloud (AWS/GCP/ Azure)
• Effective communication skills to collaborate with technical, DevOps and product management teams.
• Experience with Git, Docker, and Kubernetes

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$110,300 - $183,800

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [e-mail] or (Canada) [e-mail]. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!