AI Full Stack Software Engineer

McKesson; Columbus (OH); Hybrid; USD 106,000 - 179,000; Full time

Job summary

Join McKesson as an AI Full Stack Software Engineer where you will develop cutting-edge AI solutions to improve healthcare outcomes. Collaborate with cross-functional teams to implement innovative technologies, utilizing your expertise in machine learning and cloud computing to enhance patient care and drive business growth.

Qualifications

• Minimum 4+ years in software development.
• At least 2+ years in AI-enhanced applications.
• Proficiency in Python and AI related libraries.

Responsibilities

• Develop and deliver AI-driven enterprise quality software applications.
• Design and optimize data pipelines for AI system development.
• Collaborate with teams to integrate AI tools into applications.

Skills

AI System Evaluation

LLM Knowledge

Analytical Skills

Python

Cloud Computing

Education

B.S. degree in Computer Science or related field

Tools

Git

Docker

Kubernetes

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

As an AI Full Stack Software Engineer with CoverMyMeds, you'll be responsible for developing cutting-edge AI solutions to improve healthcare outcomes. You will collaborate with cross-functional teams to design, develop, and deploy AI models and applications that enhance patient care, streamline clinical workflows, and drive business growth. Your role will involve leveraging advanced technologies such as machine learning, natural language processing, computer vision, and cloud computing to create innovative AI products and services.

*Our preferred candidate will reside in Columbus, OH. Position will primarily allow for remote working with occasional in-office support for presence for key meetings.

*We are unable to provide sponsorship now or in the future for this position.

Responsibilities:

• Develop and deliver AI-driven enterprise quality software applications

• Build scalable applications integrating Large Language Models and other AI tools into new and legacy codebases (e.g. voice recognition, document parsing, image parsing, text to speech, RAG)

• 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

• 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

Minimum Qualifications:

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

• Minimum 2+ years of experience in developing AI-enhanced applications using LLMs, voice, image, or speech models

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, pleaseclick here.

Our Base Pay Range for this position

$106,900 - $178,100

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

Join us at McKesson!