McKesson
McKesson

McKesson ir veselības aprūpes uzņēmums, kas darbojas farmaceitisko produktu izplatīšanas, medicīnas preču un veselības aprūpes pakalpojumu jomā. Tā darbība palīdz aptiekām, klīnikām, veselības aprūpes sistēmām un pacientiem saņemt nepieciešamo terapiju, vienlaikus atbalstot efektīvāku veselības aprūpes darbību un noturīgu reaģēšanu uz zāļu trūkumu.

Uzņēmums izstrādā arī aptieku pārvaldības programmatūru un piedāvā konsultāciju un tehnoloģiju risinājumus specializētām praksēm. McKesson sadarbojas ar biofarmācijas organizācijām un atbalsta onkoloģijas un biofarmācijas prakses, nodrošinot pakalpojumus, kas vērsti uz medikamentu pieejamību, ārstēšanās ievērošanu, komercializāciju, uz datiem balstītām atziņām un reālās pasaules pierādījumiem.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

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

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