QA Engineer

Role Overview

We are looking for a QA-origin engineer with a strong background in manual testing and a growing or established focus on AI evaluation, verification, and validation. This role is dedicated to ensuring the correctness, reliability, safety, and consistency of AI-driven and automation-heavy systems. The ideal candidate comes from a traditional QA background, understands system behavior deeply, and is either experienced in or actively transitioning toward modern AI evaluation, QA Vibe, and next-generation automation technologies.

Key Responsibilities

• Design and execute evaluation strategies for AI-powered features (LLM-based flows, recommendations, decision logic).
• Validate AI outputs for correctness, consistency, bias, hallucination risk, and edge cases.
• Define qualitative and quantitative AI evaluation criteria, metrics, and acceptance thresholds.
• Perform deep manual, exploratory, and scenario-based testing on AI and non-AI features.
• Build and maintain automated evaluation and regression pipelines for AI-enabled systems.
• Collaborate with engineers and product teams to improve AI testability and observability.
• Review and verify fixes, prevent regressions, and ensure enterprise-grade quality before releases.

Required Background

• Strong QA foundation with hands-on manual testing experience.
• 3–5+ years in QA / software testing, including complex or enterprise systems.
• Experience defining test strategies, test plans, and acceptance criteria.
• Understanding of AI system behavior, non-determinism, and evaluation challenges.
• Exposure to test automation frameworks (UI and/or API).
• Strong analytical skills and attention to detail.

Preferred

• Experience with AI evaluation frameworks, prompt testing, or model validatio Familiarity with Playwright, Cypress, Selenium, or similar tools.
• Interest in agentic QA, AI-assisted testing, and QA automation evolution.

We offer

• Flexible and fast-paced environment where the product comes first
• Competitive salary
• Challenges and personal growth
• Flexible working practices
• Friendly environment
• Training program allowance
• Team-building activities
• Respectful and inclusive environment

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