McKesson
McKesson

McKesson एक स्वास्थ्य सेवा कंपनी है, जो फार्मास्युटिकल वितरण, चिकित्सा आपूर्ति और स्वास्थ्य सेवाओं के क्षेत्र में काम करती है। इसका कार्य फार्मेसियों, क्लीनिकों, स्वास्थ्य प्रणालियों और मरीजों को आवश्यक उपचार उपलब्ध कराने में मदद करता है, साथ ही अधिक कुशल स्वास्थ्य सेवा संचालन और दवाओं की कमी से निपटने के लिए मजबूत प्रतिक्रिया व्यवस्था का समर्थन करता है।

कंपनी विशेष चिकित्सा सेवाओं के लिए फार्मेसी प्रबंधन सॉफ्टवेयर, परामर्श और प्रौद्योगिकी समाधान भी विकसित करती है। McKesson बायोफार्मा संगठनों के साथ काम करती है और दवा की उपलब्धता, उपचार अनुपालन, व्यावसायीकरण, डेटा-आधारित अंतर्दृष्टि और वास्तविक दुनिया के प्रमाण पर केंद्रित सेवाओं के माध्यम से ऑन्कोलॉजी और बायोफार्मा प्रैक्टिस का समर्थन करती है।

AI Full-Stack Software Engineer

Build LLM-powered healthcare software at McKesson, including retrieval-augmented generation systems and AI agents. Develop data pipelines and cloud applications that bring AI capabilities into new and existing products.

विवरण

  • Create 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 scalable new and legacy applications.
  • Build and refine data pipelines and datasets for AI development and testing.
  • Explain LLMs, vector databases, and other modern AI concepts to non-technical audiences.
  • Develop effective prompts and apply caching techniques to improve LLM performance.
  • Manage prompt libraries and benchmark their results.
  • Fine-tune and deploy GPT-family and Llama models.
  • Build AI agents with Semantic Kernel.
  • Create prototypes for copilot experiences and autonomous workflows.
  • Document code and applications comprehensively.
  • Work with internal teams and external stakeholders on large-scale projects.
  • Adapt to evolving technologies and working conditions.
  • Design solutions to address complex problems.

आवश्यकताएँ

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

लाभ

  • Competitive compensation.
  • Annual bonuses or long-term incentives may be available.
  • Equity may form part of total compensation.
  • Benefits details are available through McKesson’s Total Rewards program.
  • Equal employment opportunity.
  • Reasonable accommodations are available for applicants with disabilities.

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