Sr Associate AI Full stack Software Engineer

Role Overview

McKesson seeks a highly skilled and experienced Sr. Associate AI Full stack Software Engineer to join our innovative team. This role will be responsible for designing, developing, and deploying end‑to‑end AI‑powered software solutions within the healthcare domain.

• 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, prototype co‑pilot experiences and autonomous workflows.
• Fully document all work at both the code level and application level.
• Learn and adapt in a changing environment.
• Collaborate with other staff and outside stakeholders on large projects.
• Passion for creating solutions and solving complex problems.

• Minimum 2+ years of experience in software development.
• B.S. degree in Computer Science or related engineering discipline, or equivalent experience.

• 2+ years of experience developing AI‑powered applications using LLMs, voice, image, or speech models.
• Experience with AI evaluation metrics (precision, recall, F1, AUC) and MLOps for scalable deployment.
• Proven ability to build Retrieval‑Augmented Generation solutions using Lang Chain/Llama Index and vector databases.
• Strong experience with LLM optimization techniques (prompting, caching, cost awareness).
• Proficiency in Python and AI/ML frameworks (OpenAI, Tensor Flow, PyTorch).
• Full‑stack development experience, including Node.js (Express).
• Experience with cloud platforms (AWS, GCP, or Azure).
• Experience with modern Dev Ops tools (Git, Docker, Kubernetes).
• Strong analytical/problem‑solving skills to derive insights from data.

• Deep understanding of the LLM model landscape (e.g., GPT variants, emerging models).
• Experience with advanced LLM cost optimization techniques (batching, quantization).
• Experience using AI coding assistants (Git Hub Copilot, Cursor, Codeium/Windsurf).
• Healthcare domain experience and ability to translate clinical/business needs into AI solutions.
• Strong cross‑functional communication skills across technical and non‑technical stakeholders.

Priority will be given to candidates who reside in the Columbus, OH metropolitan area. We are unable to provide sponsorship for this role presently or in the future.

Our Base Pay Range for this position: $86,600 - $144,400.

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 those with disabilities.

If you need a reasonable accommodation to assist with your job search or application for employment, please contact us at Disabili (United States) or  (Canada). Resumes or CVs submitted to this email box will not be accepted.