AI Quality Engineer
- Ramat Gan, Tel Aviv District, Israel
- LinkedIn Public
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Description
About Zemingo Zemingo designs, builds, and scales digital products and services used by millions, partnering with leading global enterprises and high-growth innovators. We operate inside complex ecosystems, mature design systems, and multidisciplinary teams. We're reimagining our entire engineering and delivery lifecycle for the AI era - replacing legacy bottlenecks with intelligent, agentic systems. Why Zemingo? Ship at Scale: Work on real, production-grade applications that touch millions of daily active users. Autonomous Engineering Culture: Join a studio that values deep technical curiosity, proactive ownership, and systems architecture over manual repetition. Pioneer the Standard: Help define how modern quality engineering operates when autonomous agents, LLMs, and code generation lead the testing lifecycle. Requirements: Software Development & Scripting: Good coding skills in TypeScript/JavaScript or Python, with the ability to build test utilities, script against APIs, and integrate external libraries cleanly. Modern E2E Test Automation: 2+ years of hands-on experience building, scaling, and maintaining automated test suites using Playwright (or Cypress). Practical AI Engineering: Demonstrable experience working directly with LLMs (OpenAI, Anthropic, open-source models), prompt chaining, or emerging agentic web tools. QA & Systems Thinking: Strong foundational understanding of software testing methodologies, API testing (REST/GraphQL), test data management.... Curiosity & Proactive Mindset: An active builder who experiments with new developer tools, agentic workflows, and emerging AI paradigms before they become industry consensus. Communication & Collaboration: Excellent technical communication skills, capable of bridging product requirements, developer context, and quality standards. Advantages (Nice to Have) Hands-on experience with native mobile automation frameworks (e.g., Maestro, Appium). Experience with agentic frameworks or orchestration engines (e.g., LangChain, CrewAI, AutoGen, or LangGraph).