Software Engineer - .Net/Generative AI

About the Role:We are looking for a Software Engineer with strong experience in .NET application development and hands-on exposure to Generative AI and LLM-based solutions. The ideal candidate will be responsible for developing scalable full-stack applications, integrating AI capabilities using Azure OpenAI and Semantic Kernel, and supporting robust CI/CD and cloud delivery practices.Key Responsibilities:- Design, develop, and maintain full-stack applications using C#, ASP.NET Core, and .NET 8.- Build and integrate Generative AI and LLM-powered applications using Azure OpenAI and Semantic Kernel.- Implement semantic search, Retrieval-Augmented Generation (RAG), prompt engineering, and multi-agent workflows.- Develop and maintain ETL/data pipelines using PostgreSQL and SQL Server.- Design and implement REST APIs and backend services for application and AI integrations.- Build and manage CI/CD pipelines using Azure DevOps.- Implement Infrastructure as Code (IaC) and support automated cloud deployments.- Work with Azure Machine Learning and related Azure AI services for AI/ML solution development and deployment.- Optimize application performance, scalability, reliability, and resource utilization.- Apply secure coding practices and ensure application and API security.- Troubleshoot production issues and perform root-cause analysis.- Collaborate with product, engineering, and business teams in an Agile/Scrum environment.- Participate in code reviews, technical discussions, testing, and continuous improvement initiatives.Tech Stack & Requirements:- 4 - 7 years of experience in software development with strong hands-on expertise in C# and ASP.NET Core/.NET 8.- Strong experience in full-stack application development and REST API development.- Hands-on experience with Azure DevOps, including CI/CD pipelines and Infrastructure as Code.- Practical experience developing Generative AI and LLM-based applications.- Strong understanding of Azure OpenAI, prompt engineering, and RAG implementation patterns.- Experience with Semantic Kernel and AI agent/multi-agent architectures.- Experience with semantic search, embeddings, vector-based retrieval, and LLM application integration.- Hands-on experience with PostgreSQL and/or SQL Server, including data processing and ETL pipelines.- Knowledge of Azure Machine Learning and Azure AI services.- Strong understanding of application performance optimization and security best practices.- Experience working in Agile/Scrum development environments.- Strong problem-solving, communication, and collaboration skills. (ref:hirist.tech)