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Lead AI Automation 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

  • Act as AQA Squad Lead, owning AI-first automation direction in the team
  • Perform TypeScript / Playwright code reviews during the transition phase
  • Work hands-on with TypeScript, Playwright, Copilot (IDE), and MCP tools locally as part of daily delivery
  • Design and lead LLM pipeline / agent-based automation architecture (AI-first system design)
  • Define and improve prompting strategies and structured outputs (JSON / schema-based automation)
  • Ensure quality and consistency of AI-generated test automation outputs across the squad
  • Lead end-to-end debugging across AI output → test → API → system, including environment/auth issues and incorrect AI scenarios
  • Work with REST APIs, JSON data models, async flows (queues/events), and understand backend context including PHP/Laravel architecture and DB concepts (Postgres, configuration, tenants)
  • Apply and guide advanced Playwright usage (fixtures, storage state, network interception, async debugging, reusable flow design)
  • Drive transition from traditional automation to LLM + MCP-driven AI-native testing system, while remaining hands-on technical lead

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, incorrect AI-generated scenarios

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