.Net Developer (AI integration)

Cencora • Conshohocken, PA

11d

About The Position

Under the general direction of the Director, AI Platforms and Solutions Delivery, the Full-Stack .NET Developer will help advance Cencora’s digital transformation by designing, building, and operating modern web applications and services on the Microsoft stack. This role focuses on delivering secure, scalable, cloud-native solutions using .NET and contemporary front-end frameworks, with exposure to integrating AI and GenAI capabilities (e.g., LLM-powered features, search, summarization, and workflow automation) into business applications.
The incumbent partners with product managers, architects, UX, and business stakeholders to translate requirements into production-ready software. The role supports the ongoing development of internal platforms and digital products, emphasizing API-first design, DevOps practices, high-quality engineering, and responsible use of AI within enterprise systems.

Requirements

• 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.

Nice To Haves

• Hands-on experience integrating Large Language Models (LLMs), prompt engineering, or RAG patterns.
• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level