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