DOTNET Senior Full Stack Engineer (AI-Driven Development)

V2 Solutions; Hinoba-an; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

V2 Solutions is seeking a Senior .NET Engineer who uses AI as a core part of their development workflow to build, modernize, and deliver software efficiently. You will work across a portfolio of .NET applications, improving legacy systems, increasing test coverage, and building API-driven components while leveraging AI to accelerate development and quality.

This role requires 5+ years of C#/.NET experience, hands-on API design, and a proven track record of implementing automated tests.

Qualifications

• 5+ years of experience with C# and .NET (Framework and/or .NET Core/.NET 6+)
• Experience modernizing and improving legacy systems
• Strong experience building RESTful APIs and backend services
• Experience writing automated tests (unit/integration)
• Hands-on use of AI tools in development workflows

Responsibilities

• Develop and maintain applications using C# and .NET, including legacy modernization
• Design and implement RESTful APIs and service-based components
• Use AI-assisted workflows to improve code quality and test coverage
• Build and maintain unit and integration tests with AI-assisted approaches
• Collaborate across teams to deliver reliable, high-quality software
• Contribute to CI/CD, automation, and deployment practices

Skills

C#

.NET

RESTful APIs

Unit tests

AI in development

SQL Server

Tools

GitHub Copilot

CI/CD

Azure

AWS

Job description

We are seeking a Senior .NET Engineer who uses AI as a core part of their development workflow to build, modernize, and deliver software efficiently. You will work across a portfolio of .NET applications improving legacy systems, increasing test coverage, and building API-driven components while leveraging AI to accelerate development, reduce manual effort, and improve code quality. This is not a role where AI is optional. It is an expected part of how you design, build, test, and deliver software every day.

Key Responsibilities

• Use AI-assisted workflows to develop and maintain applications using C# and .NET (Framework and/or .NET 6+)
• Modernize legacy systems and upgrade older .NET applications to current versions, leveraging AI to accelerate analysis, refactoring, and migration
• Design and implement RESTful APIs and service-based components
• Use AI to safely evolve systems , ensuring changes do not break existing functionality
• Build and maintain unit, integration, and automated tests , using AI to expand coverage and reduce reliance on manual QA
• Apply AI tools in daily development to: generate, refine, and optimize code rapidly increase test coverage in existing systems analyze and understand large or unfamiliar codebases assist in debugging and root cause analysis accelerate documentation and knowledge sharing
• Break down existing systems into cleaner architectural boundaries where appropriate (API-first, service-oriented design)
• Contribute to improving development workflows, including CI/CD, automation, and deployment practices
• Collaborate across teams to deliver reliable, high-quality software

Required Qualifications

• 5+ years of experience with C# and .NET (Framework and/or .NET Core/.NET 6+)
• Experience working in and improving legacy systems
• Strong experience building RESTful APIs and backend services
• Experience writing and maintaining automated tests (unit and/or integration)
• Demonstrated, hands-on use of AI tools in software development workflows
• Strong problem-solving, debugging, and system analysis skills
• Experience with SQL Server or similar relational databases

AI-Driven Development Expectations

You are expected to actively use AI tools (e.g., GitHubCopilot, ChatGPT, or similar) to increase speed, improve output quality, and reduce manual effort across the development lifecycle. This includes:

• Generating and refining code scaffolding, refactors, and repetitive logic
• Producing unit and integration tests from existing codebases
• Using AI to quickly understand and navigate legacy systems
• Accelerating API development, documentation, and integration work
• Assisting with bug investigation, debugging, and root cause analysis
• Iterating rapidly by combining engineering judgment with AI-generated output

Preferred Qualifications

• Experience migrating applications from .NET Framework to modern .NET
• Experience increasing test coverage in low-coverage or untested systems
• Familiarity with CI/CD pipelines and deployment automation
• Experience with cloud platforms (AWS or Azure preferred)
• Exposure to frontend frameworks (Angular, Vue, etc.)
• Experience with service-oriented or microservices architectures

What Were Looking For

Engineers who use AI to meaningfully increase productivity and engineering output Strong ownership mindset and ability to drive work to completion Practical problem solvers comfortable working in real-world, imperfect systems Ability to balance speed, quality, and maintainability Clear communicators who collaborate effectively across teams Collaborative team focused on delivering results