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# AI full stack Engineer

- **Company:** McKesson
- **Location:** Columbus, OH, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Cursor, Python (Programming Language), Node.Js, 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, Discretization, Information Technology, Machine Learning Operations, Speech Synthesis, Semantic Kernel, GPT, Data Pipelines
- **Published:** October 31, 2026
- **Apply:** https://www.juju.com/job/1_49F1EF3AB7D1442A8E6A5D213D9BE510-OH293529490

## About the Role

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 4+ years of experience in Software development. - B.S. degree in Computer Science or related engineering discipline, or equivalent experience **Critical Skills** - Minimum 4+ years of experience in developing AI-enhanced applications using LLMs, voice, image, or speech models. - Proficiency in Python and AI related python libraries such as openai, tensorflow, pytorch - 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. - Experience using AI coding tools (e.g.
Github 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 o1/"thinking" models) for informed model selection and tuning. **Preferred Skills** 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 (AWS/GCP/**Azure**)

## Description

You will work across the full stack, from front-end user interfaces to back-end AI model integration and data pipelines. **Responsibilities** - 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