AI Full stack Software Engineer

McKesson•Atlanta, GA

1d•$110,300 - $183,800

About The Position

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. If you want to be part of tomorrow’s health today, we want to hear from you. 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.

Requirements

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

Nice To Haves

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

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.