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Senior .NET Developer

AmerisourceBergen
USA - PA - Remote, United States, United StatesRemotefull_timeVerifiedPosted 13 Jan 2026

About the role

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!

Job Details

Summary:

Cencora is looking to hire a highly skilled Senior .NET Developer with expertise in building robust, scalable applications using the .NET ecosystem and hands-on experience with Large Language Models (LLMs) and AI tools. The ideal candidate will design, develop, and maintain enterprise-level applications while integrating AI-driven solutions to enhance functionality and user experience. This role requires strong technical proficiency, problem-solving skills, and the ability to collaborate with cross-functional teams to deliver innovative solutions.

Core Responsibilities:

Application Development: Design, develop, and maintain high-quality applications using .NETCore, ASP.NET, C#, and related technologies, ensuring scalability, performance, and security.

AI and LLM Integration: Collaborate with data scientists and AI engineers to integrate Large Language Models and AI tools, such as LangChain, Semantic Kernel, or LlamaIndex, into .NETapplications for features like natural language processing, predictive analytics.

System Architecture: Contribute to architectural decisions, ensuring alignment with best practices for microservices, APIs, and Azure based solutions.

Code Quality and Optimization: Write clean, maintainable, and efficient code, adhering to coding standards, and perform code reviews to ensure quality and consistency.

Collaboration: Work closely with product managers, UX/UI designers, and other developers to gather requirements, define technical specifications, and deliver solutions that meet business needs.

AI Tool Utilization: Leverage AI tools and frameworks (e.g., LangChain for chaining LLM calls, Semantic Kernel for orchestrating AI workflows, LlamaIndex for indexing and querying data with LLMs, Azure AI, or OpenAI APIs) to enhance application functionality, such as automating processes or generating insights.

Testing and Debugging: Develop and execute unit tests, integration tests, and end-to-end tests to ensure robust application performance and reliability.

Mentorship: Provide technical guidance and mentorship to junior developers, fostering a culture of continuous learning and improvement.

Documentation: Create and maintain technical documentation for code, APIs, and AI integration processes.

Stay Updated: Keep abreast of emerging trends in .NET development, LLMs, and AI technologies to drive innovation within the team.

Required Skills and Qualifications:

Experience: Minimum of 5 years - with a focus on 10 or more years of professional experience in software development with a focus on .NETtechnologies (C#, .NET Core, ASP.NET MVC/Web API).

AI/LLM Exposure: Demonstrated experience integrating or working with Large Language Models or AI tools, including frameworks like LangChain, Semantic Kernel, or LlamaIndex.

Technical Proficiency:

  • Strong knowledge of .NET Core, C#, ASP.NET, Entity Framework, and RESTful API development.

  • Familiarity with front-end technologies (e.g., HTML, CSS, JavaScript, React/Angular) is a plus.

  • Experience with cloud platforms (Azure preferred).

  • Understanding of microservices architecture and containerization is plus.

​AI Integration: Practical knowledge of integrating AI APIs, handling embeddings, or fine-tuning models for specific use cases, with experience in tools like LangChain, Semantic Kernel, or LlamaIndex.

Database Skills: Proficiency in SQL Server, NoSQL databases (e.g., Cosmos DB, MongoDB), and ORM frameworks like Entity Framework.

DevOps Practices: Experience with CI/CD pipelines, version control (Git), and Agile methodologies.

Problem-Solving: Strong analytical skills with the ability to troubleshoot complex issues and optimize application performance.

Communication: Excellent verbal and written communication skills to collaborate with technical and non-technical stakeholders.

Preferred Qualifications:

  • Experience with Azure AI services

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