Sr C# Developer

This is a remote position.

We are seeking a highly skilled C#/.NET Developer with hands-on experience in building AI-powered applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures. The ideal candidate will have strong expertise in developing scalable .NET applications, integrating AI services through APIs, and building enterprise-grade AI solutions.

The candidate should have experience working with modern AI frameworks, vector databases, prompt engineering, and API management platforms to deliver intelligent, secure, and scalable applications.

• Design, develop, and maintain enterprise applications using C#, .NET Core/.NET 8, and ASP.NET Core.
  
• Build AI-powered applications leveraging Large Language Models (LLMs) such as Azure OpenAI, OpenAI, Anthropic Claude, or Google Gemini.
  
• Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge bases and vector databases.
  
• Develop and integrate RESTful APIs for AI services and third-party applications.
  
• Work with API gateways and API management platforms (e.g., Gravitee, Kong, Azure API Management, Apigee).
  
• Develop scalable backend services for AI inference, document processing, and conversational applications.
  
• Implement secure authentication and authorization using OAuth2, JWT, and Azure Active Directory.
  
• Collaborate with architects, product owners, and cross-functional teams to translate business requirements into technical solutions.
  
• Optimize application performance, scalability, and reliability.
  
• Participate in code reviews, unit testing, CI/CD deployments, and Agile ceremonies.
  
• Create technical documentation and support production deployments.
  

• 5+ years of experience in C#/.NET application development.
  
• Strong expertise in C#, .NET Core/.NET 6+, ASP.NET Core, and REST API development.
  
• Hands-on experience integrating Large Language Models (LLMs) into enterprise applications.
  
• Practical experience designing and implementing RAG (Retrieval-Augmented Generation) solutions.
  
• Experience consuming AI services through REST APIs and SDKs.
  
• Knowledge of prompt engineering and AI application development patterns.
  
• Strong understanding of object-oriented programming, design patterns, and microservices architecture.
  
• Experience with SQL Server or other relational databases.
  
• Proficiency with Git and CI/CD tools such as Azure DevOps or GitHub Actions.
  
• Experience working in Agile/Scrum environments.