Lead .NET AI Engineer — Azure GenAI & Backend

EPAM Systems, Inc.; Turkey; On-site; TRY 3,931,000 - 5,897,000; Full time

Benefits offered by this job

Referral bonuses

Extra leave days

Private health insurance

English courses

Job summary

EPAM Systems, Inc. is seeking a Lead .NET AI Developer to drive design and development of cloud-native apps powered by Generative AI. You will lead ASP.NET Core/Web API on Azure, mentor teams, and collaborate with cross-functional engineers to deliver scalable, secure enterprise solutions.

Frontend may be involved with React/Angular as needed. The role emphasizes CI/CD, DevOps, and AI-assisted engineering practices to optimize delivery.

Qualifications

• Strong expertise in C# and .NET (Core and Framework).
• Hands-on ASP.NET Core, Web API, and SOA architectures.
• Experience delivering on Microsoft Azure and Azure DevOps CI/CD.
• Background in Generative AI integration into enterprise apps.
• Ability to mentor engineers and perform code reviews.

Responsibilities

• Lead design, development, and delivery of cloud-native enterprise apps using C# and .NET.
• Develop scalable ASP.NET Core and Web API solutions on Azure.
• Drive modern software engineering practices, CI/CD, DevOps automation.
• Integrate Generative AI capabilities into business applications.
• Mentor engineers and guide technical decisions; conduct reviews.
• Contribute to frontend tasks with React/Angular when needed.

Skills

C#

ASP.NET Core

Web API

Azure

GenAI integration

Mentoring

Code reviews

CI/CD

DevOps

Distributed systems

React

Angular

GitHub Copilot

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Tools

GitHub Copilot

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Azure DevOps

Azure

React

Angular

Job description

EPAM Systems, Inc. is seeking a Lead .NET AI Developer to drive design and development of cloud-native apps powered by Generative AI. You will lead ASP.NET Core/Web API on Azure, mentor teams, and collaborate with cross-functional engineers to deliver scalable, secure enterprise solutions.

Frontend may be involved with React/Angular as needed. The role emphasizes CI/CD, DevOps, and AI-assisted engineering practices to optimize delivery.