Cloud Native .NET Engineer with AI Integration Focus
We are searching for a highly skilled .NET Engineer with cloud expertise and a strong focus on integrating cutting-edge AI capabilities into projects. The ideal candidate needs robust proficiency in .NET, paired with an in-depth understanding of at least one prominent cloud provider and familiarity with modern AI tools and frameworks.
This role presents an exciting chance to work at the cutting edge of AI technology, utilizing the most recent tools and frameworks to design groundbreaking solutions within the .NET ecosystem.
Responsibilities
- Lead the development and deployment of cloud-native solutions with significant AI integration in projects
- Design and implement AI-driven applications using the .NET framework (5/6/8)
- Integrate AI tools like Microsoft 365 Copilot Studio, GitHub Copilot, Azure AI Search, and Azure AI services into projects
- Apply Retrieval Augmented Generation (RAG) techniques to boost language understanding and generation
- Develop solutions powered by the Semantic Kernel for advanced AI reasoning and task management
- Collaborate with cross-functional teams to align technical resolutions with project objectives
- Enhance project outcomes through AI-based features and cloud-native architectures
- Produce efficient and clear code, following coding best practices and standards
- Monitor advancements in .NET, cloud computing, AI, and Cloud Native architectures, recommending innovative applications for continuous improvement
Requirements
- 3+ years of experience in .NET development
- Proven expertise in C# programming language, with significant experience in AI integration
- Background in cloud computing and hands-on experience with major cloud platforms such as Azure, AWS, or Google Cloud Platform
- Familiarity with Microsoft 365 Copilot Studio, GitHub Copilot, or other AI-assisted development tools
- Knowledge of Azure AI services, including Azure AI Search and Azure AI Foundry
- Understanding of Large Language Models (LLM) and Retrieval Augmented Generation (RAG)
- Skills in implementing Semantic Kernel or similar frameworks for advanced AI reasoning
- Competency in problem-solving and effective teamwork within diverse teams
- Showcase of superior communication skills to break down complex technical concepts for non-technical audiences
- English language proficiency at an Upper-Intermediate level (B2) or higher
Nice to have
- Familiarity with Google Gemini Code Assist and other AI code generation tools
- Understanding of Cloud Native architectures, including tools like Kubernetes, Docker, and microservices
- Capability to integrate OpenAI API functionalities
