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Sr Associate AI Full Stack Engineer

$86.6k - $144.4k
Full-time

McKesson

Salary: $86,600 - 144,400 per year Requirements:

  • We require at least 2 years of experience in software development.
  • We require a bachelors degree in computer science, engineering, or a closely related field, or equivalent practical experience.
  • We require 2+ years of hands-on experience building AI-enabled applications with LLMs, voice, image, or speech technologies.
  • We require experience with AI assessment methods, including precision, recall, F1, and AUC, along with MLOps practices for scalable release.
  • We require a strong record of developing RAG solutions with LangChain, LlamaIndex, and vector databases.
  • We require solid expertise in prompt engineering, prompt tuning, caching strategies, and cost-conscious LLM optimization.
  • We require proficiency in Python and AI/ML tooling such as OpenAI, TensorFlow, and PyTorch.
  • We require full-stack development experience, including Node.js and Express.
  • We require experience working with cloud environments such as AWS, GCP, or Azure.
  • We require familiarity with modern DevOps tools, including Git, Docker, and Kubernetes.
  • We require strong analytical and troubleshooting abilities to interpret data and solve complex problems.
  • We prefer candidates with a strong understanding of the LLM ecosystem, including GPT variants and newer models.
  • We prefer experience with advanced LLM efficiency techniques such as batching and quantization.
  • We prefer experience using AI-assisted development tools such as GitHub Copilot, Cursor, Codeium, or Windsurf.
  • We prefer healthcare industry experience and the ability to translate clinical and business needs into AI solutions.
  • We prefer strong communication skills for working effectively with both technical and non-technical stakeholders.
  • We cannot offer sponsorship now or in the future.
  • We give priority to candidates living in the Columbus, Ohio metropolitan area.
Responsibilities:
  • We develop and deliver enterprise-grade software applications powered by AI.
  • We build scalable solutions that integrate large language models and related AI capabilities such as voice recognition, document parsing, image processing, text-to-speech, and RAG into both new and existing systems.
  • We design and improve data pipelines and datasets for AI development and testing.
  • We explain modern AI concepts, including LLMs and vector databases, to non-technical audiences.
  • We continuously refine prompts to improve LLM performance and apply caching methods to increase efficiency.
  • We maintain prompt libraries and track benchmark results.
  • We fine-tune and deploy GPT-family and Llama models.
  • We develop AI agents using Semantic Kernel.
  • We prototype copilots and autonomous workflow experiences.
  • We document our work thoroughly at both the code and application levels.
  • We adapt quickly in a changing environment and keep learning.
  • We collaborate with internal teams and external partners on large-scale initiatives.
  • We approach the role with curiosity, ownership, and a strong commitment to solving difficult problems.
Technologies:
  • AI
  • AWS
  • Azure
  • Cloud
  • Copilot
  • Cursor
  • DevOps
  • Docker
  • GCP
  • Git
  • GitHub
  • Support
  • Kubernetes
  • LLM
  • PyTorch
  • Python
  • TensorFlow
  • Windsurf
  • NodeJS
  • Fullstack

More:

We are McKesson, an impact-driven Fortune 10 healthcare company dedicated to making quality care more accessible and affordable through insights, products, and services that support patients, communities, and our people. We foster a culture of growth, innovation, and meaningful contribution, where team members are empowered to bring new ideas and help shape the future of health. This Sr. Associate AI Full Stack Software Engineer role focuses on building end-to-end AI software solutions within healthcare, and we give priority to candidates in the Columbus, Ohio metropolitan area. We offer a competitive total rewards package, with base pay for this position ranging from $86,600 to $144,400, and additional compensation opportunities may be available based on performance and market factors.

last updated 41 week of 2026

Vacancy posted 2 days ago
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