QA Engineer

• Own the full QA lifecycle for Agentic AI products: strategy, design, execution, reporting, and release sign-off.
• Design and run test plans covering functional, regression, smoke, exploratory, and usability testing for AI behavior and decision chains.
• Validate multi-step decision flows and reasoning to catch logic gaps, guardrail failures, or requirement mismatches.
• Perform structured exploratory testing to uncover unexpected behaviors, edge cases, and cascading AI failures.
• Build synthetic test scripts for UI elements, APIs, and end-to-end flows to verify functionality.
• Test across platforms (web, mobile, integrations) for consistency and performance.
• Maintain dashboards tracking test coverage, failures, and quality KPIs for all stakeholders.
• Improve test reliability: fix flakiness, optimize parallel runs, and cut execution time.
• Partner with Product, Design, and Engineering to refine requirements and set clear go/no-go criteria.
• Monitor pre- and post-release quality; use data to enhance AI evaluation and guardrails.

Product QA Engineer – Gen AI

Quality Assurance Data Engineer – Remote, CET ±3 hours

Test Engineer