AI Quality Engineer

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AI Quality Engineer

By / October 8, 2026

• Location: Toronto, Ontario
• Type: Contract
• Job #107598

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-assisted 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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