Cloud Native .NET Engineer with AI Integration Focus

🏢 ОфисSeniorПолная занятостьАутсорс

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Чем предстоит заниматься

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

Наши требования

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

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

Knowledge of Cloud Native architectures and experience with tools like Kubernetes, Docker and microservices

Дополнительно

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