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.
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.
Minimum Qualifications
Minimum 2+ years of experience in Software development.
Minimum 2+ years of experience in developing AI-enhanced applications using LLMs, voice, image, or speech models.
B.S. degree in Computer Science or related engineering discipline, or equivalent experience
Critical Skills
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.
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.
Exceptional analytical skills to extract actionable insights from data
Experience using AI coding tools (e.g. Github Copilot, Cursor, Codeium/Windsurf)
Proficiency in Python and AI related python libraries such as openai, tensorflow, pytorch
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/GCP/Azure)
Effective communication skills to collaborate with technical, DevOps and product management teams.
Experience with Git, Docker, and Kubernetes
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
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