AI Quality Assurance Developer developing testing strategies for AI-integrated products at CBC/Radio-Canada. Collaborating with teams to ensure high-quality, reliable software solutions.
Responsibilities
Design and implement testing strategies tailored to products that integrate AI.
Develop automated testing tools and frameworks (Python, TypeScript, and other technologies).
Use AI to: detect anomalies; improve test coverage and the relevance of validations; and implement continuous validation mechanisms within CI/CD pipelines.
Collaborate closely with developers, product teams, and data teams.
Contribute to reliability practices (SRE): observability, monitoring, and incident management.
Participate in the continuous improvement of QA practices.
Ensure the quality of features delivered to a large audience.
Document and streamline the approaches implemented.
Requirements
Degree in a relevant field (engineering, computer science, etc.) or equivalent professional experience.
Strong experience in software development (Python and/or TypeScript).
Experience in test automation (unit, integration, end-to-end).
Strong interest in AI applied to software development.
Interest in SRE (Site Reliability Engineering) practices.
Experience with or curiosity about AI tools (LLMs, test generation, etc.).
Good understanding of CI/CD pipelines.
Experience working in Agile environments (Scrum / Kanban).
Benefits
Flexible work arrangements (remote / hybrid depending on context)
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