Senior .NET & Azure AI Engineer – Platform Architect

GBIT (Global Bridge InfoTech Inc)

McKinney (TX)

On-site

USD 120,000 - 160,000

Full time

12 hours ago
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Job summary

GBIT (Global Bridge InfoTech Inc) is seeking a Senior .NET Full Stack Developer with strong Azure expertise and an AI-first mindset to build a scalable, enterprise-grade plug-and-play platform.

The platform will provide reusable, modular, and configurable capabilities that can be leveraged across multiple applications, clients, and business units—reducing repetitive development, cost, and implementation time.

Qualifications

  • Experience with .NET, C#, and Azure technologies in enterprise environments.
  • Proficient in designing REST APIs and microservices.
  • Familiarity with SQL Server and Azure SQL; exposure to NoSQL is a plus.
  • Experience with GenAI, LLMs, Azure OpenAI, and AI agents.
  • Understanding of enterprise architecture, reusable components, automation, and integration.

Responsibilities

  • Design and develop reusable enterprise capabilities using .NET, C#, Azure, APIs, and modern full-stack technologies.
  • Build modular services and components that can be configured, integrated, and reused across different applications.
  • Apply an AI-first approach to development, automation, integration, testing, and platform operations.
  • Leverage GenAI, LLMs, AI agents, Azure OpenAI, and AI-assisted engineering to minimize manual development effort.
  • Develop scalable REST APIs, microservices, workflows, and reusable UI components.
  • Build cloud-native solutions using Azure services, with focus on security, scalability, monitoring, and governance.

Skills

C# / .NET
REST APIs
Microservices
Azure
AI/GenAI
APIs
SQL Server
Full Stack
Automation
Enterprise Architecture

Tools

Azure OpenAI
API Management

Job description

GBIT (Global Bridge InfoTech Inc) is seeking a Senior .NET Full Stack Developer with strong Azure expertise and an AI-first mindset to build a scalable, enterprise-grade plug-and-play platform.

The platform will provide reusable, modular, and configurable capabilities that can be leveraged across multiple applications, clients, and business units—reducing repetitive development, cost, and implementation time.

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