Design, develop, and maintain scalable applications using C#, .NET Core, and ASP.NET Core.
Develop REST APIs and microservices using .NET for enterprise applications.
Design and integrate Generative AI / LLM capabilities into .NET applications.
Build AI-powered solutions using Azure OpenAI Service and other Azure AI services.
Develop RAG (Retrieval-Augmented Generation) solutions using enterprise documents and data sources.
Implement prompt engineering, prompt templates, embeddings, and vector search for GenAI applications.
Integrate Azure AI/GenAI capabilities with .NET APIs and backend services.
Work with Azure AI Search for document retrieval, semantic search, and vector search.
Develop AI-powered chatbots, enterprise copilots, document intelligence, and intelligent automation solutions.
Implement secure authentication and authorization using Microsoft Entra ID, managed identities, OAuth, and JWT.




Deploy and manage applications using Azure App Service, Azure Functions, Azure Container Apps, or AKS.
Use Azure Key Vault, Application Insights, Azure Monitor, and other Azure services for security and monitoring.
Implement CI/CD pipelines using Azure DevOps or GitHub Actions.
Optimize application and AI workloads for performance, scalability, reliability, and cost.
Conduct unit/integration testing, code reviews, troubleshooting, and production support.
Collaborate with architects, business stakeholders, data teams, and AI/ML teams to translate requirements into technical solutions.
Participate in Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives.

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