> Markdown version of [/jobs/ext/4225680-ai-full-stack-software-engineer](https://www.wearedevelopers.com/jobs/ext/4225680-ai-full-stack-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Full stack Software Engineer

- **Company:** McKesson
- **Location:** Brookhaven, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Cursor, DevOps, Python (Programming Language), Parsing, Tensorflow, Software Deployment, Software Engineering, Speech Recognition, Web Applications, GitHub Copilot, Retrieval-Augmented Generation, Large Language Models, Express.js, Llamaindex, AI Coding Agents, Agentic-AI, Git, Discretization, Kubernetes, Information Technology, Machine Learning Operations, Speech Synthesis, Semantic Kernel, GPT, Data Pipelines, Docker
- **Published:** October 12, 2026
- **Apply:** https://diversityjobs.com/career/18616227/Ai-Full-Stack-Software-Engineer-Georgia-Atlanta

## About the Role

* 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

## Description

We are seeking a highly skilled and motivated AI Full Stack Software Engineer to join our innovative team at CMM. In this role, you will be instrumental in designing, developing, and deploying 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
 * 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.