Key responsibilities:

Design and execute test plans, test cases, and test strategies for AI-driven SaaS products with comprehensive coverage.
Perform functional, regression, integration, and exploratory testing across product workflows.
Document and track defects through to resolution, maintaining clear records.
Develop and maintain automated test scripts, including with tools such as Selenium.
Balance manual and automated approaches to match the needs of each project.
Partner with engineering, product, and design to anticipate quality risks before they reach production.
Analyse test results to identify bottlenecks and drive fixes with developers.
Contribute to process-improvement initiatives within the QA practice.
Validate AI/ML outputs, model-backed workflows, AI-generated content, recommendation logic, for correctness, consistency, and edge-case behaviour.
Use AI tools such as ChatGPT and Copilot to accelerate test-case generation and documentation.

Requirements :

3–5 years in software testing covering both manual and automated methodologies.
Strong command of functional, regression, integration, and exploratory testing.
Experience with test and project management tools such as Jira or equivalent.
Familiarity with scripting languages for writing custom test scripts.
Strong analytical skills, critical thinking, edge-case identification, and structured problem-solving.
Practical experience testing features of AI-driven SaaS products, model-backed workflows, AI-generated content, or recommendation logic.
AI-native working practice: fluent use of AI tools to accelerate testing work and knowledgeable about AI applications in the domain.

Nice to have :

Strong documentation skills, clear, precise communication of test results and recommendations.

Required Skills

AI tools integration regression Jira Functional scripting language

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AI QA Engineer