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McKesson

Senior Associate, AI Full Stack Software Engineer

McKesson

. Develop and deliver AI-driven enterprise quality software applications .

Posted 5/21/2026full-timeColumbus • Ohio • 🇺🇸 United StatesSenior💰 $86,600 - $144,400 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesNode.jsPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • 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
  • Collaborate with other staff and outside stakeholders on large projects

Requirements

What you’ll need
  • Minimum 2+ years of experience in Software development
  • B.S. degree in Computer Science or related engineering discipline, or equivalent experience
  • 2+ years of experience developing AI-powered applications using LLMs, voice, image, or speech models
  • Experience with AI evaluation metrics (precision, recall, F1, AUC) and MLOps for scalable deployment
  • Proven ability to build RAG solutions using LangChain / LlamaIndex and vector databases
  • Strong experience with LLM optimization techniques (prompting, caching, cost awareness)
  • Proficiency in Python and AI/ML frameworks (OpenAI, TensorFlow, PyTorch)
  • Full-stack development experience, including Node.js (Express)
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Experience with modern DevOps tools (Git, Docker, Kubernetes)
  • Strong analytical/problem-solving skills to derive insights from data

Benefits

Comp & perks
  • Competitive compensation package
  • Annual bonus or long-term incentive opportunities

ATS Keywords

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Hard Skills & Tools
PythonAI/ML frameworksOpenAITensorFlowPyTorchNode.jsLangChainLlamaIndexMLOpsAI evaluation metrics
Soft Skills
analytical skillsproblem-solving skillscommunication skillscollaboration skills
Certifications
B.S. degree in Computer Science