AI Full stack Software Engineer

Position Overview

McKesson is an impact-driven, Fortune 10 company dedicated to delivering insights, products, and services that make quality care more accessible and affordable. We are seeking a highly skilled and motivated AI Full Stack Software Engineer to join our innovative team at the Clinical Med Tech (CMM) organization.

• 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, retrieval-augmented generation) 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 and benchmark performance.
• Fine‑tune and serve GPT‑family, LLaMA models.
• Develop AI agents, semantic kernel prototypes, co‑pilot experiences, and autonomous workflows.
• Fully document all work at both the code level and application level.
• Adapt quickly in a changing environment and collaborate with other staff and outside stakeholders on large projects.
• Passionately create solutions and solve complex problems.

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

• Minimum 4+ years of experience developing AI‑enhanced applications using LLMs, voice, image, or speech models.
• Proficiency in Python and AI‑related Python libraries such as OpenAI, Tensor Flow, and PyTorch.
• AI system evaluation and optimization: proficiency in sensitivity metrics (precision, recall, F1‑score, AUC‑ROC) and MLOps for scalable, cost‑efficient AI deployment.
• RAG development: skilled in building retrieval‑augmented generation systems from scratch or with Lang Chain/Llama Index, using vector databases for context‑aware LLM applications.
• Experience using AI coding tools (e.g., Git Hub Copilot, Cursor, Codeium, Windsurf).
• LLM cost optimization: expert in managing LLM costs (token pricing, input/output rates) via prompt caching, batching, and quantization.
• Deep understanding of LLM advancements (GPT‑3.5, GPT‑4, o1, “thinking” models) for informed model selection and tuning.

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

$110,300–$183,800

McKesson is an Equal Opportunity Employer. We provide 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 more information on our full Equal Employment Opportunity policies, visit the McKesson Equal Employment Opportunity page.

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