.NET Application Developer

We are seeking an experienced Full Stack Developer with strong expertise in .NET Core, C#, React.js, and Artificial Intelligence (AI) technologies. The ideal candidate will be responsible for designing, developing, and implementing scalable enterprise applications while integrating modern AI capabilities such as Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and Microsoft Copilot solutions. The role requires hands-on development experience across frontend, backend, cloud platforms, and AI-driven applications.

Key Responsibilities

• Design and develop scalable web applications using .NET Core, ASP.NET MVC/Web API, C#, React.js, TypeScript, HTML5, CSS3, and JavaScript.
• Build and maintain RESTful APIs, Microservices, and event-driven architectures for enterprise applications.
• Develop responsive and interactive user interfaces using React.js, Redux, Material UI, Bootstrap, and modern frontend frameworks.
• Design and implement AI-powered solutions leveraging Generative AI, OpenAI, Azure OpenAI, LLMs, RAG, Vector Databases, LangChain, Semantic Kernel, and Agentic AI frameworks.
• Integrate AI copilots, chatbots, document intelligence solutions, and intelligent automation into business applications.
• Develop and optimize prompt engineering strategies for AI-driven systems.
• Build data pipelines and AI workflows using Python and AI orchestration frameworks.
• Collaborate with business stakeholders, architects, product owners, and data scientists to define AI use cases and application requirements.
• Design and optimize relational and NoSQL databases including SQL Server, PostgreSQL, MongoDB, and Cosmos DB.
• Implement authentication and authorization using OAuth 2.0, OpenID Connect, Azure AD, JWT, and Identity Server.
• Develop cloud-native applications on Microsoft Azure and AWS platforms.
• Implement CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, and Git.
• Participate in Agile ceremonies including sprint planning, code reviews, backlog grooming, and retrospectives.
• Ensure application security, scalability, performance optimization, and code quality best practices.