AI-Assisted QA Software Engineer

Quick Facts

• Role: AI-Assisted QA Software Engineer / Quality Engineering Expert

• Focus: AI-native verification and automation for ERP-class applications

Description

Lead next-generation Quality Engineering to verify and automate systems where code is generated through collaboration of people and agentic AI. Ensure ERP applications are deterministic, stable, and compliant with business rules—matching legacy calculation and transaction results. Use AI-native testing approaches (agents, E2E/API frameworks) and audit UX/UI and design-system accessibility.

Responsibilities

• Verify determinism and business logic correctness for ERP applications, validating data consistency and matching legacy results.

• Perform regression and integration testing under fast delivery (hyper-delivery) to keep architecture stable.

• Audit UX/UI compliance and Design System adherence, including accessibility standards.

• Automate QA in an AI-native way by building advanced E2E and API testing frameworks using AI agents to generate test code.

• Oversee and review AI-generated code to catch edge cases, data-structure inefficiencies, and potential logic/security vulnerabilities.

Requirements

• Minimum 5 years of experience testing complex business applications (ERP/CRM systems preferred).

• Expertise building E2E and API test frameworks (e.g., Playwright, REST-assured).

• Hands-on knowledge of AI tools used in software development (e.g., Cursor, Copilot, Claude Code) and willingness to experiment daily with LLM-based automation frameworks.

• Experience with performance and load testing for systems processing large volumes of transactional data.

• Exceptional analytical and critical thinking to identify hallucinations, silent logical errors, and hidden anomalies in AI-generated code.

Benefits

• Private medical care via Allianz, with access to specialists and diagnostic tests for you and your family.

• Cafeteria benefits (e.g., Multisport card funding or spending on culture, rest, sport, and shopping).

• Hybrid work model after onboarding (2 days remote, 3 days in the office).

• Ability to use advanced AI tools and Google Workspace.

• Cross-team collaboration to learn new technologies and expand IT knowledge.

• Professional development with real impact on business decisions.

• Bike-friendly facilities (bike racks, changing rooms, cycling facilities, repair station) and parking options in Kraków for those commuting by car.