Azure .Net AI Engineer

GBIT (Global Bridge InfoTech Inc); McKinney (TX); On-site; USD 120,000 - 160,000; Full time

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

We are looking for 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.

Key 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.

Required Skills

• Strong C# / .NET / .NET Core / ASP.NET Core
• REST APIs, Microservices, API Management
• SQL Server / Azure SQL; exposure to NoSQL is a plus
• Practical experience with GenAI / LLMs / Azure OpenAI / AI Agents
• Strong understanding of enterprise architecture, reusable components, automation, and integration