AI Quality Engineer

3 days ago

Toronto, ON, Canada EPITEC Full-time $90,000 - $130,000 Contract

Job Title

AI Quality Engineer

Location

Toronto,ON (2-3 days onsite)

Duration

12+Months Contract

Must-have

  • Around 8 years of experience in Quality Engineering, Testing, Test Automation or Software Engineering.
  • Strong experience in test automation and quality engineering for enterprise applications.
  • Hands on experience using playwright as browser automation tool.
  • Strong understanding of business process/workflow analysis and end-to-end application flows.
  • Experience building automation solutions using Python or similar programming languages.
  • Hands‑on experience with Generative AI / LLMs and applying AI to enterprise automation or testing use cases.
  • Experience working with process maps, workflow diagrams, business process documentation or application workflows.
  • Ability to translate process/workflow requirements into structured test scenarios and validation rules.
  • Experience with AI‑assistant test case generation, test analysis, document comparison or intelligent automation.
  • Strong understanding of functional, integration, regression and data validation testing.
  • Strong analytical and problem‑solving skills with the ability to identify gaps between expected and actual business processes.
  • Strong communication and stakeholder management skills.
  • Experience working with distributed teams and business stakeholders.

Nice-to-have

  • Experience with TM1 / IBM Planning Analytics / EPM applications.
  • Experience in banking, financial services or risk domains.
  • Experience with LangChain, LangGraph, LlamaIndex or similar GenAI frameworks.
  • Experience with RAG, embeddings, semantic similarity or vector databases.
  • Experience processing workflow diagrams using OCR, document intelligence, computer vision or multimodal LLMs.
  • Experience generating automated gap‑analysis reports using AI.
  • Working knowledge of SQL and backend/data validation.
  • Experience with AI evaluation frameworks and techniques for measuring LLM accuracy and reliability.

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