.Net Developer (AI integration)

• Design build and maintain full-stack .NET applications using C# ASP.NET Core RESTful APIs modern UI technologies (React Angular or Blazor) and responsive design principles.
• Develop scalable backend services integration layers and data access patterns (SQL/ORM) optimized for performance and maintainability.
• Integrate AI capabilities into applications:
  • Call Azure OpenAI GPT models and other LLM endpoints via backend APIs.
  • Implement prompt engineering chain-of-thought and advanced prompting techniques.
  • Build Retrieval-Augmented Generation (RAG) solutions using vector search (Azure AI Search PostgreSQL pgvector etc.).
  • Develop AI-powered features such as intelligent search summarization content generation chat assistants and workflow automation.
• Create and maintain Python scripts (as advantageous) for data processing embedding generation LLM evaluation or prototyping AI solutions.
• Collaborate with AI platform teams to integrate Azure AI services (Azure OpenAI Azure AI Studio Functions etc.).
• Implement observability monitoring and evaluation frameworks for AI components (latency quality cost safety).
• Contribute to CI/CD pipelines Infrastructure as Code DevOps practices and responsible AI guidelines (bias detection hallucination mitigation compliance).
• Participate in code reviews architecture discussions and incident management.

• Bachelor's degree in Computer Science or equivalent relevant experience.
• 5+ years of professional full-stack software engineering experience with strong emphasis on .NET ecosystem (C# ASP.NET Core Entity Framework etc.).
• Solid experience building REST APIs modern web UIs and cloud-native applications on Azure.
• Strong plus: Hands-on experience integrating Large Language Models (LLMs) prompt engineering or RAG patterns.
• Advantageous (not mandatory): Exposure to Python for AI-related tasks (LangChain LlamaIndex Hugging Face pandas embedding models etc.).
• Experience with Azure AI services vector databases or semantic search is highly valued.

• Knowledge of responsible AI practices and MLOps concepts is a plus.

• Passion for building high-quality maintainable software with strong attention to detail.
• Self-motivated pragmatic problem-solver who can work effectively amid evolving requirements.
• Strong communication skills with the ability to work across engineering product and business teams.
• Solid understanding of secure software development practices (authentication/authorization secrets management OWASP fundamentals).
• Ability to research evaluate and apply new technologies responsibly including AI capabilities where they add measurable business value.
• Thrives in collaborative environments resolves conflicting approaches constructively and contributes to a healthy engineering culture.

What We Do

Cencora is a leading pharmaceutical solutions organization centered on improving the lives of people and animals everywhere. With 46000+ global team members we have the opportunity to make a positive impact on healthcare in communities everywhere. Our team members are empowered to activate their careers through a collective of tools and resources designed to support individual career interests and aspirations. We value our listening culture that actions real outcomes and our team members appreciate and recognize one another for contributions that are making a meaningful global impact. No matter what your role is here the work we do together has meaning. When you join our team you become a crucial part of a greater purpose. We’re committed to supporting you personally and professionally so we can achieve more together at the center of health.Protect yourself from job scams: Recruitment scams are on the rise. To protect yourself we urge you to be vigilant and follow these guidelines > https://careers.cencora.com/us/en/job-scams

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