AI Software Engineer - Assessments
- Compensation
- Not disclosed
- Location
- Remote, AB, CA
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Completion of a computer science undergraduate degree or equivalent practical experience.
- Five or more years of professional software development experience, including strong hands-on C# and .NET experience.
- Demonstrated professional experience using AI coding agents, AI-assisted development tools, or agentic development workflows as a substantial part of real software development work.
- Advanced practical experience with GitHub Copilot, Claude Code, Windsurf, or comparable AI-powered development platforms.
- Demonstrated ability to apply AI coding tools to improve software design, implementation productivity, code quality, automated testing, debugging, troubleshooting, refactoring, code review, or technic
- Experience building Azure cloud applications using event-driven, service based or microservice architectures.
- Experience building scalable backend services and distributed systems.
- Strong understanding of object-oriented design, design patterns, SOLID principles, secure development, automated testing, continuous integration, debugging, and maintainable software architecture.
- Strong written and verbal communication skills, technical leadership, and the ability to collaborate effectively in an Agile team environment.
Nice to have
- Experience developing and maintaining YAML CI/CD pipelines using Azure DevOps, Jenkins, or similar systems.
- Experience with Azure OpenAI Service, large language model APIs, evaluation frameworks, observability, or AI application security.
- Experience with Angular or React and TypeScript.
Full description
Overview
Quest Software is seeking an experienced AI Software Engineer to help define and advance AI-first software development practices for a cloud-native SaaS product on the Microsoft Azure platform. This role is intended for an experienced developer who combines strong C#/.NET, Azure, cloud architecture, and backend engineering skills with proven hands-on experience using AI coding agents, AI-assisted development platforms, and agentic development workflows in production software engineering.
The successful candidate will be expected to contribute directly to the product codebase while also helping the team adopt AI coding approaches that improve development speed, code quality, test coverage, refactoring and troubleshooting. We are looking for someone who has used AI coding agents in real software development work and can translate that experience into repeatable practices.
Responsibilities
- Contribute to the adoption of AI-first software development practices across the project team.
- Use AI coding agents and AI-assisted development platforms extensively in day-to-day product engineering, including solution design, implementation, automated testing, debugging, troubleshooting, refactoring, code reviews, and technical documentation.
- Design reusable prompts, agent instructions, development workflows, validation steps, and guardrails that enable consistent and responsible AI-assisted software development.
- Design, build, test, and maintain scalable, serverless, cloud-native SaaS capabilities using C#/.NET and Microsoft Azure technologies, including Azure Functions, Microsoft Graph API, Azure Data Explorer, Cosmos DB, AKS (Azure Kubernetes Service) and ACA (Azure Container Apps) and Event Hubs.
- Contribute to architecture, technical decision-making, code reviews, CI/CD, release readiness, and ownership of critical product components in an Agile SCRUM environment.
Qualifications
Required:
- Completion of a computer science undergraduate degree or equivalent practical experience.
- Five or more years of professional software development experience, including strong hands-on C# and .NET experience.
- Demonstrated professional experience using AI coding agents, AI-assisted development tools, or agentic development workflows as a substantial part of real software development work.
- Advanced practical experience with GitHub Copilot, Claude Code, Windsurf, or comparable AI-powered development platforms.
- Demonstrated ability to apply AI coding tools to improve software design, implementation productivity, code quality, automated testing, debugging, troubleshooting, refactoring, code review, or technical documentation.