Role Overview :

As an AI Quality Engineer, you will be the strategic lead for quality within our AI-driven product ecosystem. You will be responsible for validating non-deterministic AI outputs and microservices. You will use tools like Claude Code, Cursor, and Gemini, moving from manual oversight to high-velocity, AI-augmented delivery.

You will ensure that our AI products are not only functional but reliable, ethical, and scalable.

Core Responsibilities :

- AI-First Test Strategy & Planning : Define and implement the end-to-end test strategy for major AI product areas.

- AI-Augmented Automation : You will adopt Cursor and Claude Code to refactor existing frameworks, develop new frameworks, migrate legacy frameworks to modern technologies and automate the creation of test suites.

- Defect Management & Root Cause Analysis : You will perform Root Cause Analysis, submit bugs and ensure their timely resolution.

- Documentation & Reporting : You will document your work and report on quality metrics to stakeholders.

Required Qualifications :

- AI Toolchain Mastery : Expert-level experience using AI coding assistants (Claude Code, Cursor) and LLMs (Gemini, GPT-4) to accelerate the SDLC.

- SDLC Experience : Proven track record of product delivery in an Agile environment with a focus on CI/CD (ADO and GitHub Actions).

- Technical Stack : Proficiency in C#, Python or JavaScript and experience with modern testing frameworks (e.g., Selenium, Playwright, Nunit, PyTest).

- Autonomy : Ability to create cases, execute tests manually and automate with minimal oversight.

- Education/Experience : 2-3 years in Quality Engineering with a focus on Web and Mobile Applications testing.