About the Company

About the Role

Senior AI-Native Quality Engineer

Responsibilities

1. AI-Native Quality Engineering

• AI is a core requirement of this role. You will integrate AI into the entire quality lifecycle—not simply use it as an occasional chatbot.
• Analyse requirements and acceptance criteria to identify gaps, edge cases, ambiguities and potential risks.
• Use AI to generate and enhance test scenarios, automation scripts and synthetic test data.
• Leverage AI coding assistants to accelerate development, refactoring, debugging and test maintenance.
• Use AI to analyse failed tests, logs, screenshots and stack traces to accelerate root-cause analysis.
• Explore AI-assisted test maintenance, intelligent regression test selection and self-healing automation.
• Automate test reporting, result analysis and repetitive quality-engineering activities wherever practical.

2. Automation & Continuous Testing

• Design, develop and maintain scalable automation frameworks using Playwright and relevant supporting technologies.
• Build robust API automation and validation,



prioritising API-level testing where appropriate to reduce unnecessary UI testing.
• Develop and maintain functional, integration, regression and end-to-end automated tests.
• Use Appium for mobile automation where required; Selenium experience is an added advantage.
• Reduce flaky tests, enable parallel execution and improve test reliability and feedback cycles.
• Integrate automated tests into Jenkins or equivalent CI/CD pipelines and establish meaningful, risk-based quality gates.
• Continuously identify manual and repetitive testing activities that can be automated, simplified or eliminated.

3. AI / LLM Quality Engineering

• Validate AI-powered features for accuracy, relevance, consistency, reliability, context awareness and failure behaviour.
• Test for hallucinations, prompt injection, adversarial inputs, unsafe outputs, guardrail failures and boundary conditions.
• Define evaluation crite

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