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Intellias · IT - Software Development

Ai Automation Qa Engineer

Bulgaria; Croatia; Poland; Portugal; Ukraine · Job Posted June 14, 2026
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Job Description

Intellias helps retailers deliver consistent, omnichannel experiences through technology. Join us to develop scalable solutions that drive performance and customer value. What project we have for you: Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias’ mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. Role overview: We are looking for a hands-on Automation Engineer with strong AI/LLM pipeline and test automation expertise, focused on modern automation practices and scalable test engineering.

Job Responsibility

  • Build and maintain AI-driven test automation using Playwright + TypeScript
  • Work with LLM-based automation pipelines and AI-generated test cases
  • Use MCP tools locally as part of daily automation workflow (Copilot + AI tools included)
  • Extend and maintain existing automation framework (reusable, no duplication)
  • Validate and work with AI-generated structured outputs (JSON / schema)
  • Participate in peer code reviews (automation / TypeScript)
  • Debug issues across test automation: failing tests, API mismatches, environment/auth issues, AI-generated incorrect scenarios
  • Work with REST APIs and JSON-based data flows (in context of testing)
  • Contribute to an AI-first QA environment transitioning toward LLM/MCP-driven automation

Requirements

  • Hands-on work with LLM pipelines / agents (not just tools)
  • Prompt tuning, structured outputs (JSON/schema)
  • Understanding of MCP tools and data retrieval
  • Ability to work with APIs, JSON data models, async flows (queues, events)
  • Understanding of PHP / Laravel architecture
  • DB concepts (Postgres / configuration / tenants)
  • Deep Playwright usage: fixtures, storage state, network interception, async/debugging
  • Ability to build reusable flows (no duplication)
  • Ability to debug across AI output → test → API → application
  • Handling of authentication / cookies / environment issues
  • Handling of incorrect AI-generated scenarios
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