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Intermediate QA Analyst - Contract (6 months)

environicsanalytics

Toronto$76k–93kHybrid3d ago
Employment
Contract
Seniority
Mid

About the role

Role Objective:

The QA Analyst will be an integral part of the product development team, ensuring high-quality delivery across modern, AI-driven applications. This role focuses on validating core application features, agent-based workflows, and automation frameworks, alongside traditional manual testing in a fast-paced Agile environment.

The ideal candidate is detail-oriented, proactive, and comfortable working with emerging technologies such as AI/ML systems, prompts, and agent-based workflows, while maintaining strong fundamentals in QA practices.


Specific Responsibilities and Duties:

  • Perform manual testing of web applications, including UI, functional, exploratory, and regression testing
  • Validate AI-driven features, including prompt-based outputs, recommendations, and decision workflows
  • Test and verify agent-based systems and integrations, ensuring accuracy, reliability, and edge-case handling
  • Create and execute test plans, test cases, and test scenarios with clear coverage of AI behaviors and expected outcomes
  • Design, develop, and maintain automated test scripts using Playwright
  • Identify and document defects with detailed steps, logs, and supporting evidence
  • Collaborate with developers, product managers, and stakeholders to understand requirements and clarify expected AI behavior
  • Participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives, defect triage)
  • Validate backend data flows and integrations where applicable
  • Continuously improve QA processes, especially around AI testing strategies and automation coverage
  • Perform risk analysis for AI-related features (e.g., unexpected outputs, inconsistencies, performance concerns)

Qualifications and Required Skills:

Education & Experience

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
  • 3+ years of experience in software QA (manual + automation)

Technical Skills

  • Strong experience in manual testing (functional, regression, exploratory)
  • Hands-on experience with Playwright (preferred) or similar automation frameworks
  • Experience testing modern web applications (UI + backend integration)
  • Basic understanding of AI/ML concepts, LLMs, or prompt-based systems
  • Experience testing AI features, recommendations, or conversational systems is a strong asset
  • Familiarity with agent-based workflows or automation tools involving AI is highly desirable
  • Experience with API testing (preferred) (Postman or Swagger)
  • Working knowledge of SQL and data validation
  • Familiarity with CI/CD pipelines and automated test execution
  • Experience with Agile methodologies and tools such as Azure DevOps

Analytical & Soft Skills

  • Strong problem-solving and debugging skills, especially for non-deterministic AI outputs
  • Ability to think critically about edge cases, data variations, and unexpected system behavior
  • Excellent communication skills (verbal and written)
  • Strong attention to detail and organizational skills
  • Ability to work collaboratively across teams in a fast-paced environment
  • Curiosity and willingness to learn emerging AI testing practices and tools

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