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Sr C# Developer

This is a remote position.

Job Summary

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.

Key Responsibilities

  • 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.

Required Qualifications

  • 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.


See also

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