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McKesson
McKesson
H1B vizos rėmėjasKonsultavimasLogistikaSveikatos priežiūra

McKesson yra sveikatos priežiūros įmonė, veikianti farmacijos produktų platinimo, medicinos priemonių ir sveikatos priežiūros paslaugų srityse. Jos veikla padeda vaistinėms, klinikoms, sveikatos priežiūros sistemoms ir pacientams gauti būtiną gydymą, taip pat prisideda prie efektyvesnio sveikatos priežiūros veikimo ir atsparaus atsako į vaistų trūkumą.

Įmonė taip pat kuria vaistinių valdymo programinę įrangą ir teikia konsultavimo bei technologinius sprendimus specializuotoms praktikoms. McKesson bendradarbiauja su biofarmacijos organizacijomis ir remia onkologijos bei biofarmacijos praktikas, teikdama paslaugas, orientuotas į vaistų prieinamumą, pacientų gydymo laikymąsi, komercializaciją, duomenimis pagrįstas įžvalgas ir realaus pasaulio įrodymus.

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Darbai įmonėje

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.

USJungtinės ValstijosOHOhajasHibridinisVisas etatasJaunesnysis specialistasVidutinis lygisPrivaloma Kalba: anglųFull-stack inžinieriusPrograminės įrangos inžinierius
AWSAzureDockerGoogle Cloud PlatformJavaScriptKubernetesNode.jsPythonPyTorchTensorFlow

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

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

Susiję darbai

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