QA Engineer, Web Games – AI Automation

Posted 2026-05-06
Remote, USA Full-time Immediate Start
    Job Description:
  • Build and manage AI-driven QA systems that autonomously verify, play, and bulletproof our mobile HTML5 games.
  • Transform traditional manual testing into a highly automated, continuous pipeline of AI bug hunts, autonomous playthroughs, and AI code reviews.
  • Design and deploy AI agents capable of autonomously playing through our HTML5 games to validate core loops, progression logic, and edge cases.
  • Build an automated "AI Bug Hunt" system that continuously explores daily builds to identify physics glitches, UI overlaps, and rendering anomalies across mobile browser environments.
  • Integrate QA deeply into Wolf's AI-driven development process, writing the test parameters, prompts, and acceptance criteria that our AI coding tools use to generate game features.
  • Implement automated AI code reviews that scan incoming pull requests for performance bottlenecks, memory leaks, and mobile web anti-patterns before human review.
  • Develop automated systems to simulate and test device fragmentation — iOS Safari memory limits, Android Chrome touch latency, variable network speeds.
  • Embed AI QA gates directly into the CI/CD pipeline, halting builds that fail automated visual or state-based checks.
  • Run structured internal play-test sessions for rapid prototypes, translating subjective design feedback into objective, testable parameters.
  • Reduce manual regression testing by 90% through AI-augmented end-to-end testing.
    Requirements:
  • Extensive experience shipping and maintaining mobile browser / HTML5 games.
  • Proven track record testing browser-based games built with Pixi.js, Phaser, Three.js, or custom WebGL engines.
  • Deep familiarity with LLMs, AI agents, and prompt engineering.
  • Strong scripting skills in TypeScript/JavaScript and experience with modern testing frameworks (Playwright, Cypress, Puppeteer) combined with AI-assisted workflows.
  • Solid understanding of TDD methodologies and how to apply them in an AI-code-generation environment.
  • Highly developed taste for games — strong intuition for what makes a game fun and the ability to articulate design feedback constructively.
  • Deep empathy for the player experience, prioritizing issues based on how heavily they disrupt the core gameplay loop.
  • An automation-obsessive mindset.
  • Exceptional communication skills — your bug tickets and AI test prompts are precise, clear, and immediately actionable.
  • Comfort operating in a high-velocity environment where builds happen daily and traditional QA timelines do not exist.

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