Skip To Main Content
epam-logo-black.svgepam-logo-black.svg
backBack to Search

Cloud Native .NET Engineer with AI Integration Focus

Hybrid in Montenegro
.NET& 3 others
Looking for something else?

Find a vacancy that works for you. Send us your CV to receive a personalized offer.

Find me a job

We are looking for a highly skilled .NET Engineer with cloud expertise and a strong emphasis on integrating advanced AI capabilities into projects. The ideal candidate will demonstrate robust proficiency in .NET, coupled with a deep understanding of at least one major cloud provider and familiarity with modern AI tools and frameworks.

This position provides a unique opportunity to work at the forefront of AI technology, utilizing the latest tools and frameworks to develop innovative solutions within the .NET ecosystem.

Responsibilities
  • Develop and deploy cloud-native solutions with a focus on AI integration within projects
  • Architect and release AI-powered applications, leveraging the .NET framework (5/6/8)
  • Integrate and apply advanced AI tools, including Microsoft 365 Copilot Studio, GitHub Copilot, Azure AI Search, and Azure AI services
  • Implement Retrieval Augmented Generation (RAG) techniques to improve language understanding and generative capabilities
  • Create solutions using the Semantic Kernel for advanced AI reasoning and task completion
  • Collaborate with cross-functional teams to understand project goals and translate them into AI-driven technical solutions
  • Build AI-based features and functionalities using cloud-native architectures and industry-standard methodologies
  • Write clean, maintainable, and well-documented code while adhering to coding standards and best practices
  • Stay informed about advancements in .NET, cloud computing, AI, and Cloud Native architectures, and recommend cutting-edge solutions to enhance our AI capabilities
Requirements
  • 2+ years of experience in .NET development
  • Proven expertise in C# programming language with extensive experience in AI integration
  • Proficiency in cloud computing and hands-on experience with leading platforms such as Azure, AWS, or Google Cloud Platform
  • Experience working with Microsoft 365 Copilot Studio, GitHub Copilot, or other AI-assisted development tools
  • Familiarity with Azure AI services, including Azure AI Search and Azure AI Foundry
  • Knowledge of Large Language Models (LLM) and approaches like Retrieval Augmented Generation (RAG)
  • Background in implementing Semantic Kernel or equivalent frameworks for AI reasoning
  • Excellent problem-solving skills and the ability to effectively collaborate within team environments
  • Strong communication skills and the capability to explain intricate technical concepts to non-technical audiences
  • B2 level of English or higher, with an emphasis on technical communication skills
Nice to have
  • Showcase of experience with Google Gemini Code Assist or comparable AI code generation tools
  • Knowledge of Cloud Native architectures alongside familiarity with tools such as Kubernetes, Docker, and microservices
  • Understanding of OpenAI API integration