AI full stack Engineer

Summary

McKesson is an impact-driven healthcare company delivering insights, products, and services that make quality care more accessible and affordable. The AI Full Stack Software Engineer will design, develop, and deploy end-to-end AI-powered healthcare solutions across front-end interfaces, back-end model integrations, 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

Skills

• * 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
• * 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**
• * 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/Google Cloud Platform/**Azure**)
• * Effective communication skills to collaborate with technical, DevOps and product management teams
• * Experience with Git, Docker, and Kubernetes

Qualifications

Must Haves

• * 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
• * 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**

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/Google Cloud Platform/**Azure**)
• * Effective communication skills to collaborate with technical, DevOps and product management teams
• * Experience with Git, Docker, and Kubernetes