Overview

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
Required Qualifications:
  • 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
Benefits:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to LinkedIn Learning and Udemy
  • Free English classes with certified teachers
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)
Nice To Have:
  • Knowledge of Cloud Native architectures and experience with tools like Kubernetes, Docker and microservices
  • .NET
  • C#
  • Microsoft Azure
  • Amazon Web Services
  • Google Cloud Platform
  • Large Language Models (LLM)
  • Retrieval-Augmented Generation (RAG)
Note:

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