Cloud Native .NET Engineer with AI Integration Focus

We seek a highly skilled .NET Engineer with cloud expertise and a strong focus on integrating cutting-edge AI capabilities into projects. The ideal candidate will possess robust proficiency in .NET, coupled with a deep understanding of at least one major cloud provider and experience with modern AI tools and frameworks. This role offers an exciting opportunity to work at the forefront of AI technology, leveraging the latest tools and frameworks to create innovative solutions in the .NET ecosystem. Responsibilities Facilitate the development and deployment of cloud-native solutions, highlighting AI integration in our projects Architect and launch AI-driven applications, leveraging .NET framework (5/6/8) Integrate and utilize advanced AI tools such as Microsoft 365 Copilot Studio, GitHub Copilot, Azure AI Search, and Azure AI services Implement Retrieval Augmented Generation (RAG) techniques to enhance language understanding and generation capabilities Develop solutions using the Semantic Kernel for advanced AI reasoning and task completion Team up with cross-functional teams to comprehend project objectives and convert them into AI-driven technical resolutions Implement AI-based features and functionalities, utilizing cloud-native architectures and industry-standard practices Write maintainable and well-documented code, adhering to coding standards and best practices Stay updated with the latest advancements in .NET, cloud computing, AI, and Cloud Native architectures, proactively suggesting innovative solutions to enhance our AI capabilities Requirements Proven expertise in C# programming language, with significant experience in AI integration Proficiency in cloud computing with hands-on experience in major cloud platforms such as Azure, AWS, or Google Cloud Platform Experience with Microsoft 365 Copilot Studio, GitHub Copilot, or similar AI-assisted development tools Familiarity with Azure AI services, including Azure AI Search and Azure AI Foundry Knowledge of Large Language Models (LLM) and Retrieval Augmented Generation (RAG) Experience implementing Semantic Kernel or similar frameworks for AI reasoning Excellent problem-solving abilities and the capability to effectively collaborate within a team setting Superior communication skills and the competence to seamlessly explain complex technical concepts to non-technical stakeholders Nice to have Experience with Google Gemini Code Assist or other AI code generation tools Knowledge of Cloud Native architectures and experience with tools like Kubernetes, Docker, and microservices Familiarity with OpenAI API integration