AI Full stack Software Engineer

Overview

We are seeking a highly skilled and motivated AI Full Stack Software Engineer to join our innovative team. In this role, you will design, develop, and deploy 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.

• 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 models.
• Develop AI agents using Semantic Kernel.
• Prototype copilot experiences & autonomous workflows.
• Fully document all work at both the code level and application level.
• Learn and adapt quickly in a changing environment.
• Collaborate with other staff and outside stakeholders on large projects.
• Demonstrate passion for creating solutions and solving complex problems.

• 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 developing AI‑enhanced applications using LLMs, voice, image, or speech models.
• Proficiency in Python and AI‑related libraries such as OpenAI, Tensor Flow, PyTorch.
• AI system evaluation & optimization: proficiency 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 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.
• LLM knowledge: deep understanding of LLM advancements (GPT‑3.5 vs GPT‑4 vs other models) for informed model selection and tuning.

• 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 platforms (AWS, GCP, Azure).
• Effective communication skills to collaborate with technical, Dev Ops, and product management teams.
• Experience with Git, Docker, and Kubernetes.

Our Base Pay Range for this position: $110,300 - $183,800
. The pay range is aligned with McKesson’s pay philosophy and is compliant with applicable regulations. Additional compensation such as an annual bonus or long‑term incentive opportunities may be offered.

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. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers, including those with disabilities.