- 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 Dev Ops or Git Hub 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.

📌 Dotnet+Azure+GenAi (Bengaluru)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru