Job Description

Salary: $110,300 - 183,800 per year Requirements:

• We require at least 4 years of professional software development experience.
• We require a B.S. degree in Computer Science, a related engineering field, or equivalent practical experience.
• We require at least 4 years of experience building AI-enhanced applications using LLMs, voice, image, or speech models.
• We require strong Python skills, including experience with AI libraries such as OpenAI, TensorFlow, and PyTorch.
• We require hands-on knowledge of AI system evaluation and optimization, including precision, recall, F1-score, AUC-ROC, and MLOps for scalable, cost-effective deployment.
• We require experience designing RAG solutions from the ground up or with LangChain/LlamaIndex, using vector databases for context-aware applications.
• We require familiarity with AI development tools such as GitHub Copilot, Cursor, Codeium, or Windsurf.
• We require deep understanding of LLM cost management through techniques such as prompt caching, batching, and quantization.
• We require strong knowledge of current LLM capabilities and model selection, including GPT-3.5, GPT-4, and newer reasoning-oriented models.
• We prefer exceptional analytical ability to turn data into actionable insights.
• We prefer healthcare domain knowledge and the ability to translate clinical and business needs into AI solutions.
• We prefer experience building Node.js web applications, such as with Express.js.
• We prefer exposure to cloud platforms such as AWS, GCP, or Azure.
• We prefer effective communication skills for working with technical, DevOps, and product teams.
• We prefer experience with Git, Docker, and Kubernetes.

• We develop and deliver enterprise-grade software applications powered by AI.
• We build scalable solutions that integrate large language models and other AI capabilities such as voice recognition, document parsing, image parsing, text-to-speech, and RAG into both new and existing systems.
• We design and refine data pipelines and datasets to support AI development and testing.
• We explain modern AI concepts, including LLMs and vector databases, to non-technical stakeholders.
• We iteratively improve prompts to maximize model performance and apply prompt caching strategies.
• We maintain prompt libraries and benchmark their effectiveness.
• We fine-tune and serve GPT-family models and Llama models.
• We develop AI agents using Semantic Kernel.
• We prototype copilots and autonomous workflow experiences.
• We document our work thoroughly at both the code level and the application level.
• We learn quickly and adapt to changing priorities and environments.
• We collaborate with internal teams and external stakeholders on large-scale initiatives.
• We bring passion for building solutions and solving complex technical problems.

• AI
• AWS
• Azure
• Cloud
• Copilot
• Cursor
• DevOps
• Docker
• GCP
• Git
• GitHub
• Support
• Kubernetes
• LLM
• PyTorch
• Python
• TensorFlow
• Web
• Windsurf
• NodeJS
• ExpressJS
• Fullstack

More:

We are McKesson, an impact-driven Fortune 10 healthcare company that helps make quality care more accessible and affordable through insights, products, and services that touch nearly every part of healthcare. We foster a culture where our people can grow, contribute meaningful impact, and bring new ideas to shape the future of health for patients, communities, and each other. This role is for a highly skilled AI Full Stack Software Engineer on our CMM team, where we are building end-to-end AI-powered solutions for healthcare products and services. We offer competitive total rewards, including base pay within a range of $110,300 to $183,800, with potential bonus and long-term incentive opportunities, along with benefits. We are committed to equal opportunity employment and welcome candidates seeking to join our mission-driven team.

last updated 41 week of 2026

Job Tags

Similar Jobs