AI Quality Engineer
First seen by Alion on Aug 5, 2026.
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.
Skills
Artificial Intelligence, AI/ML Testing, Test Strategy, Software Quality Assurance, Testing, Manual Testing, Automation Testing, Selenium, Playwright Testing, Test Case Writing