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McKesson
McKesson
H1B Visa SponsorConsultingHealthcareLogistics

McKesson is a healthcare company operating across pharmaceutical distribution, medical supplies, and healthcare services. Its work helps pharmacies, clinics, health systems, and patients access essential therapies while supporting more efficient healthcare operations and a resilient response to drug shortages.

The company also develops pharmacy management software, consulting, and technology solutions for specialty practices. McKesson works with biopharma organizations and supports oncology and biopharma practices through services focused on medication access, adherence, commercialization, data-driven insights, and real-world evidence.

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AI Full Stack Software Engineer

Build AI-powered healthcare applications for McKesson, including LLM-based tools and services. Work across RAG systems, AI agents, data pipelines, and cloud software.

USUnited StatesOHOhioHybridFull-timeJuniorMiddleEnglish RequiredFull-stack EngineerSoftware Engineer
AWSAzureDockerGoogle Cloud PlatformJavaScriptKubernetesNode.jsPythonPyTorchTensorflow

Description

  • Build and deliver enterprise-grade applications powered by AI.
  • Integrate LLMs and tools for voice recognition, document and image parsing, text-to-speech, and RAG into new and legacy systems.
  • Design and improve data pipelines and datasets used to develop and test AI systems.
  • Explain modern AI concepts, including LLMs and vector databases, to non-technical audiences.
  • Develop effective prompts and caching approaches to improve LLM performance.
  • Maintain prompt libraries and evaluate their performance through benchmarking.
  • Fine-tune and deploy GPT-family and Llama models.
  • Create AI agents using Semantic Kernel.
  • Prototype copilot experiences and autonomous workflows.
  • Document code and applications thoroughly.
  • Work with internal teams and external stakeholders on large projects.
  • Adapt to changing needs and learn new approaches.
  • Turn clinical and business needs into AI solutions.

Requirements

  • At least 2 years of software development experience.
  • At least 2 years of experience building AI-enabled applications with LLMs, voice, image, or speech models.
  • Bachelor’s degree in computer science or a related engineering field, or equivalent experience.
  • Knowledge of model sensitivity metrics, including precision, recall, F1 score, and AUC-ROC.
  • Experience with MLOps for scalable, cost-efficient AI deployment.
  • Experience building RAG systems with LangChain or LlamaIndex and vector databases.
  • Expertise optimizing LLM costs through prompt caching, batching, and quantization.
  • Strong understanding of LLM developments and model selection and tuning.
  • Experience with AI coding tools such as GitHub Copilot, Cursor, or Codeium/Windsurf.
  • Proficiency in Python and AI libraries such as OpenAI, TensorFlow, and PyTorch.
  • Healthcare industry knowledge.
  • Proficiency building Node.js web applications, such as with Express.js.
  • Experience with AWS, Google Cloud Platform, or Azure.
  • Experience with Git, Docker, and Kubernetes.
  • Strong communication skills for working with technical, DevOps, and product management teams.
  • Visa sponsorship is not available now or in the future.
  • Preference is given to candidates in the Atlanta, Georgia, or Columbus, Ohio metro areas.

Benefits

  • Competitive compensation package.
  • Annual bonus or long-term incentive opportunities may be available.
  • Benefits through McKesson’s Total Rewards program.

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