Software Engineer (AI)

Location: Detroit, USA; hybrid working environment

Company

hirify.global provides automotive market intelligence, data, and insights across more than 50 overseas markets.

What you will do

• Design, develop, and maintain scalable backend services and REST APIs using .NET/C#.
• Build, deploy, and support cloud-native applications, preferably on Microsoft Azure.
• Write clean, testable, documented code and participate in peer reviews and technical design decisions.
• Use AI-assisted tools such as GitHub Copilot to accelerate development, generate tests, refactor code, and improve quality.
• Evaluate AI-generated code for correctness, security, and maintainability.
• Collaborate with Product, Engineering, and cross-functional teams; troubleshoot production systems and support continuous improvement.

Requirements

• 3+ years of professional experience developing backend applications with .NET and C#.
• Experience building and deploying applications in a public cloud environment: Azure, AWS, or GCP.
• Strong understanding of REST APIs, microservices, and distributed systems.
• Experience with relational and/or NoSQL databases.
• Knowledge of CI/CD practices and version control systems such as Git.
• Practical experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, or similar, including assessing generated code for correctness, security, and maintainability.
• Strong problem-solving, analytical, communication, and collaboration skills.
• Passion for software engineering, quality, and continuous learning.

Nice to have

• Experience with Microsoft Azure services, including App Service, Functions, Azure SQL, Service Bus, Cosmos DB, or Azure AI Search.
• Experience using AI tools for code review, test generation, documentation, or coverage analysis.
• Knowledge of prompt engineering techniques for developer tools.
• Experience with Infrastructure as Code tools such as Bicep, Terraform, or ARM templates.
• Understanding of secure software development practices.
• Experience mentoring or supporting other engineers.

Culture & Benefits

• Hybrid working environment with flexibility and autonomy.
• Collaborative and supportive engineering culture based on integrity, people first, collaboration, innovation, and excellence.
• Work with modern cloud and AI technologies on products used by leading automotive organisations.
• Continuous learning and development opportunities.
• Competitive salary and benefits package.