AI-Driven Senior .NET Backend Engineer - Azure Platform

GBIT (Global Bridge InfoTech Inc); McKinney (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

GBIT (Global Bridge InfoTech Inc) seeks a Senior .NET Developer with Azure and hands-on AI/GenAI experience to join a platform engineering team. You will build modular, reusable enterprise capabilities and APIs that scale across products and business units.

This AI-forward role requires using AI coding agents to accelerate development, while applying engineering judgment to validate, test, and improve AI-generated output. Onsite McKinney, TX, 5 days a week, long-term contract.

Qualifications

• Strong hands-on experience with C# / .NET Core / ASP.NET Core.
• Strong EF Core experience.
• Strong experience with GraphQL.
• Experience building enterprise platforms, products, APIs, or reusable business capabilities.
• Hands‑on experience with AI/GenAI in software development.
• Experience using AI coding agents or AI-assisted development tools to increase developer productivity.
• Experience creating or following AI rules, guardrails, policies, and context-management practices to prevent incorrect or inconsistent AI output.
• Ability to direct, review, test, challenge, and validate AI-generated code rather than simply accepting AI output.
• Strong understanding of software architecture, design patterns, coding standards, security, and development best practices.
• Demonstrated experience decomposing product features into smaller, reusable capabilities. Mandatory.
• Strong automated testing experience using xUnit, Playwright, or similar frameworks.
• Ability to distinguish between verified facts/results and assumptions or proposed solutions.
• Strong problem-solving and analytical skills with an evidence-driven approach.

Responsibilities

• Design and develop scalable backend services using C#, .NET Core, and EF Core.
• Build reusable enterprise capabilities that can be configured and integrated across multiple applications.
• Develop APIs and services using GraphQL and modern application architecture patterns.
• Work extensively with Azure, including App Service, Azure SQL, Key Vault, and Azure Functions.
• Use AI coding agents and GenAI tools as part of the daily development workflow to accelerate coding, analysis, testing, debugging, documentation, and refactoring.
• Create and maintain rules, guardrails, policies, and context for AI coding agents to ensure consistent and reliable output.
• Direct AI agents effectively by providing appropriate context, requirements, constraints, and technical guidance.
• Critically review and validate AI-generated code for correctness, security, performance, maintainability, architecture, and coding standards before deployment.
• Decompose large product features into smaller, reusable business capabilities that can be independently developed, configured, and consumed.
• Build automated tests using xUnit, Playwright, or similar frameworks; use AI-assisted testing where appropriate.
• Contribute to Server-Driven UI (SDUI) and other server-driven application patterns when applicable.
• Work with enterprise ontology/entity-relationship models where required.
• Develop solutions that support scalability, security, governance, observability, configurability, and maintainability.
• Continuously evaluate how AI can be used to improve engineering productivity without compromising software quality.
• Verify assumptions through testing, documentation, code analysis, and other evidence before shipping.
• Collaborate with architects, product teams, and other engineers to evolve the platform as requirements and learning change.

Skills

C# / .NET Core

GraphQL

Azure

AI/GenAI in software development

Code review AI output

Testing automation

Tools

EF Core

xUnit

Playwright

SDUI

Job description

GBIT (Global Bridge InfoTech Inc) seeks a Senior .NET Developer with Azure and hands-on AI/GenAI experience to join a platform engineering team. You will build modular, reusable enterprise capabilities and APIs that scale across products and business units.

This AI-forward role requires using AI coding agents to accelerate development, while applying engineering judgment to validate, test, and improve AI-generated output. Onsite McKinney, TX, 5 days a week, long-term contract.