AI QA Lead: Automation & AI Tools

StartApp, inc.

Warszawa

On-site

PLN 180,000 - 280,000

Full time

36 hours ago
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Job summary

StartApp, inc. in Warsaw seeks a hands-on AI QA Technical Lead to drive the QA organization’s evolution through AI. You will identify opportunities in the QA lifecycle and translate them into scalable AI-powered capabilities that help the team work faster, smarter and with higher quality.

Design and build AI-powered QA tools, agents and workflows used across the testing lifecycle. This role emphasizes practical execution, experimentation, and close collaboration with QA engineers and engineering

Qualifications

  • 5+ years in Software Quality Engineering, Test Automation or Software Engineering.
  • Hands-on with Playwright or Cypress.
  • Proficient in JavaScript/TypeScript or Python.
  • Experience building AI-powered QA tools and workflows.
  • Knowledge of agentic workflows, prompts, tool calling and API integrations.
  • Ability to turn experiments into maintainable engineering products.
  • Strong QA fundamentals: test design, regression, exploratory testing.

Responsibilities

  • Design, build and evolve AI-powered QA tools, agents, and workflows.
  • Turn repetitive QA tasks into scalable AI-enabled solutions.
  • Create integrations between AI capabilities and testing, engineering, and internal systems.
  • Define standards for prompts, context, tools, and agent workflows.
  • Build mechanisms to evaluate AI output and detect regressions.
  • Monitor reliability, performance, and cost of AI-powered solutions.
  • Act as the technical focal point for AI within QA and promote adoption.
  • Collaborate with QA engineers and development teams to tackle real-world challenges.

Skills

Software QA
Test automation
AI-powered QA
JavaScript/TypeScript
Python
CI/CD basics

Tools

Playwright
Cypress
LLMs integration
Tool calling
GitHub Actions
Jenkins

Job description

StartApp, inc. in Warsaw seeks a hands-on AI QA Technical Lead to drive the QA organization’s evolution through AI. You will identify opportunities in the QA lifecycle and translate them into scalable AI-powered capabilities that help the team work faster, smarter and with higher quality.

Design and build AI-powered QA tools, agents and workflows used across the testing lifecycle. This role emphasizes practical execution, experimentation, and close collaboration with QA engineers and engineering

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