Cloud Native .NET Engineer with AI Integration Focus

We seek a highly skilled .NET Engineer with cloud expertise and a strong focus on integrating 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. Additionally, familiarity with GenAI, Large Language Models (LLM) and Retrieval Augmented Generation (RAG) is essential for seamlessly integrating AI capabilities. Responsibilities Facilitate development and deployment of cloud-native solutions, highlighting AI integration in our project Architect and launch AI-driven applications, leveraging .NET framework (5/6/8) Integrate Large Language Models (LLM) and Retrieval Augmented Generation (RAG) into ongoing and upcoming projects to enhance language understanding and generation capabilities Team up with various 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 and proactively suggest innovative solutions to enhance our AI capabilities Requirements Proven expertise in C# programming language, with 3+ years of experience and significant proficiency in AI integration Proficiency in cloud computing with hands-on experience in major cloud platforms such as Azure, AWS or Google Cloud Platform Familiarity with Large Language Models (LLM) and Retrieval Augmented Generation (RAG) 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 Fluency in English (both written and spoken) at a minimum B2 level Nice to have Knowledge of Cloud Native architectures and experience with tools like Kubernetes, Docker and microservices