Intermediate QA Tester (with AI-Generated Code Testing)

iVedha Inc.; Toronto; On-site; CAD 70,000 - 95,000; Full time

Job summary

iVedha Inc. is seeking an Intermediate QA Tester (AI-Generated Code Testing) for a full-time on-site role in Toronto, ON.

You will design, execute, and document test cases for software applications, including AI-driven code features, and collaborate with developers and product teams to ensure high-quality releases. You will perform manual testing, validate functionality against requirements, and contribute to improving QA processes in a fast-evolving technology environment.

Qualifications

• Experience designing, executing, and maintaining test cases for web, mobile, and API-based applications.
• Knowledge of QA processes, standards, and best practices.
• Ability to document issues with steps to reproduce and verify fixes.
• Experience testing AI-driven or algorithmic features and verifying reliability.
• Familiarity with test management and bug-tracking tools such as Jira/Azure DevOps/TestRail.

Responsibilities

• Design, execute, and document test plans and test cases.
• Perform manual testing and report defects with clear reproduction steps.
• Collaborate with developers, product managers, and QA peers; participate in agile ceremonies.
• Analyze test results and contribute to QA process improvements, especially for AI-driven features.

Skills

Quality Assurance knowledge

Manual Testing

Test execution

Analytical skills

AI-driven features testing

Bug tracking

SDLC & Agile

Cross-functional collaboration

Communication

Education

Post-secondary education in Computer Science/Software Engineering/Information Technology

Tools

Jira

Azure DevOps

TestRail

Job description

Company Description

iVedha Inc. is a technology solutions partner focused on helping organizations navigate the digital future through AI, Platform Engineering, and Professional & Managed Services. The company collaborates closely with clients to drive transformative change and support strategic business objectives. iVedha delivers cutting-edge solutions that enhance operational efficiency and build resilient, scalable platforms. Team members work in an environment that values innovation, collaboration, and staying ahead of the curve in an evolving digital landscape. Joining iVedha means contributing to building forward-looking solutions for diverse industries.

Role Description

The Intermediate QA Tester (with AI-Generated Code Testing) is a full-time, on-site role based in Toronto, ON. This position is responsible for designing, executing, and documenting test cases for software applications, including solutions that incorporate AI-generated code. The role involves performing manual testing, validating functionality against requirements, identifying and tracking defects, and collaborating with developers and product teams to ensure high-quality releases. The tester will analyze test results, contribute to improving testing processes, and help refine quality assurance practices, particularly around the reliability and safety of AI-driven features. Daily activities include test planning, test execution, reporting, and participation in agile ceremonies and review sessions.

Qualifications

• Strong Quality Assurance knowledge, including understanding of QA processes, standards, and best practices.
• Hands-on experience with Manual Testing and execution of Test Cases across web, mobile, or API-based applications.
• Proficiency in Test Execution and defect tracking, with the ability to clearly document issues and steps to reproduce.
• Solid Analytical Skills for interpreting requirements, assessing AI-generated code behavior, and identifying edge cases.
• Experience testing AI-driven or algorithmic features, with attention to reliability, accuracy, and risk mitigation.
• Familiarity with common test management and bug tracking tools (e.g., Jira, Azure DevOps, TestRail or equivalents).
• Understanding of SDLC and agile methodologies, and experience working in cross-functional product or engineering teams.
• Post-secondary education in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience.
• Clear written and verbal communication skills, with the ability to present test findings and collaborate with diverse stakeholders.
• Attention to detail, ownership mindset, and willingness to continuously learn in a fast-evolving technology environment.