Cloud-Native .NET AI Engineer (Azure/RAG)

EPAM Systems

Turkey

On-site

TRY 4,373,000 - 6,317,000

Full time

18 hours ago
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Benefits offered by this job

Continuous upskilling
Corporate benefits
Competitive USD compensation
Private health insurance
English language courses

Job summary

EPAM Systems is seeking a highly skilled .NET Engineer with cloud expertise and AI integrations. You will work on cutting-edge AI-enabled projects within the .NET ecosystem, delivering scalable solutions.

Responsibilities include leading cloud-native deployments, integrating AI tools, and collaborating with cross-functional teams to drive innovation while maintaining high coding standards and modern architectures.

Qualifications

  • 3+ years of .NET development experience.
  • Proven C# expertise with AI integration.
  • Cloud platform hands-on: Azure, AWS or GCP.
  • Experience with AI tools and retrieval augmented generation.

Responsibilities

  • Lead cloud-native AI-enabled development projects.
  • Design and implement AI-driven apps in the .NET framework (5/6/8).
  • Integrate AI tools like Copilot, Azure AI services into projects.
  • Apply Retrieval Augmented Generation to boost language understanding.
  • Develop solutions using Semantic Kernel for AI reasoning.
  • Collaborate with cross-functional teams to align objectives.
  • Enhance outcomes with AI features and cloud-native architectures.
  • Produce clean, efficient code following best practices.
  • Monitor .NET, cloud, AI advances and recommend innovations.

Skills

.NET development
C# programming
AI integration
Cloud computing
English proficiency

Tools

Azure
AWS
Google Cloud Platform
Microsoft 365 Copilot Studio
GitHub Copilot
Azure AI Search
Azure AI Foundry
Semantic Kernel
Kubernetes
Docker

Job description

EPAM Systems is seeking a highly skilled .NET Engineer with cloud expertise and AI integrations. You will work on cutting-edge AI-enabled projects within the .NET ecosystem, delivering scalable solutions.

Responsibilities include leading cloud-native deployments, integrating AI tools, and collaborating with cross-functional teams to drive innovation while maintaining high coding standards and modern architectures.

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