Agile Test Engineer (QA) - Co-op

TribalScaleToronto, ON
Hybrid

About The Position

At TribalScale, we're not just participating in digital transformation—we're driving it. As global leaders in innovation, we combine Agile methodologies and cutting-edge AI, including Large Language Models (LLMs), to create digital solutions that propel enterprises into the future. Based in Toronto with a hybrid workforce across the Americas, we're on an ambitious mission to "Right the Future." If you're a bold innovator ready to push the boundaries of what's possible, we invite you to join our team of digital pioneers. Our Digital Expertise Transformation Experts: We transform traditional business models into agile, AI-powered ecosystems. Strategic Visionaries: We navigate the uncharted waters of technological evolution. Product Virtuosos: We orchestrate the creation of world-class digital solutions. Code Optimizers: We leverage AI to refine and perfect digital systems. Our Technological Toolkit Mobile & Web Development: (iOS, Android, React Native, React, Node.js) Voice-Activated Platforms: (Amazon Alexa, Google Home) Connected Ecosystems: (Cars and Homes) Streaming Platforms: (Roku, Fire TV, Android TV, tvOS)

Requirements

  • Gain hands-on experience in modern quality engineering from day one
  • Learn how to test AI-powered systems and agent-driven applications
  • Work on real-world client products across different industries
  • Develop skills in test automation, exploratory testing, and AI-assisted QA
  • Collaborate closely with experienced engineers, product leaders, and teams
  • Understand how modern teams ensure quality in fast-moving, AI-augmented environments
  • Get exposure to how leading companies are testing and shipping AI-driven products
  • Build practical experience with tools and frameworks used in automation and QA
  • Learn how to think in edge cases, failure modes, and system behavior rather than just pass/fail tests
  • Be part of a high-performance, collaborative team with strong mentorship
  • Accelerate your learning in a space that blends QA, automation, and AI
  • Ideal for students who are curious, detail-oriented, and excited about AI-driven software development

Responsibilities

  • Design and execute test plans for web and backend applications
  • Work on real client products from your first day instead of internal training environments
  • Identify, document, and track bugs across applications and systems
  • Build and maintain automated test suites (UI, API, and integration testing)
  • Collaborate with engineers through pair testing and AI-assisted QA workflows
  • Use AI tools (Copilot, ChatGPT, etc.) to generate test cases and edge scenarios, improve test coverage and regression efficiency, and debug and analyze failures faster
  • Test AI-powered and agent-driven features, including LLM outputs (accuracy, consistency, edge cases), multi-step agent workflows and automations, and context-aware and intelligent user experiences
  • Validate systems where outputs are non-deterministic and require probabilistic thinking
  • Contribute to building scalable QA systems that combine traditional testing with AI-driven validation
  • Participate in Agile ceremonies including standups, sprint planning, and retrospectives
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