AI-Powered QA Automation Engineer – 100% Remote

About the Job

Role Summary

AI-driven automation and agentic testing tools

AI-powered QA into the SDLC

Key Responsibilities

• AI-Augmented QA Automation:

  Design and implement AI-driven frameworks for functional, API, UX/UI, and data validation testing. Leverage tools like Claude Code, ChatGPT-based test agents, or similar agentic automation platforms.

• Intelligent Test Execution:

  Create, maintain, and scale automated test cases that combine traditional frameworks (Selenium, Cypress, Playwright) with AI-powered validation.

• Mentor QA in AI Adoption:

  Guide manual testers in transitioning to

  AI + automation workflows

  , upskilling them in prompt engineering, AI agent supervision, and hybrid testing strategies.

• Continuous Quality in the SDLC:

  Collaborate with developers, product managers, and cross-functional teams to integrate

  AI-driven quality checks

  at every stage of development.

• Analytics & Reporting:

  Generate insights from automation coverage, AI-driven test outcomes, and defect trends to enable data-backed decisions. Document processes and results in

  Notion

  for team-wide visibility.

• Drive Innovation:

  Experiment with emerging AI QA tools, evaluate their ROI, and propose cutting-edge strategies to future-proof Hyly.AI’s QA practice.

Must-Have Qualifications

• Experience:

  5+ years in QA automation, with

  hands-on exposure to AI/agentic testing tools

  (Claude Code, GPT-4/5 agents, or equivalent).

• Technical Skills:

  Proficiency in JavaScript (mandatory) and working knowledge of Python, Ruby on Rails, and React. Strong experience in Selenium, Playwright, Cypress, and Postman.

• API & UX/UI Testing Expertise:

  Ability to design and execute automated test cases across APIs and user experiences.

• AI-First Mindset:

  Experience integrating AI into QA workflows—e.g., AI-assisted test generation, autonomous debugging, or intelligent defect triaging.

• Mentorship Skills:

  Proven ability to upskill QA engineers into automation + AI testing methodologies.

• QA & SDLC Knowledge:

  Deep understanding of QA methodologies, with a track record of embedding quality practices into the development lifecycle.

• Collaboration:

  Strong communication and collaboration with cross-functional teams.

Nice-to-Have Qualifications

• AI Tool Experience:

  Familiarity with Claude Code, ChatGPT-based agents, or similar LLM-powered QA tools.

• Collaboration Tools:

  Experience using

  Notion

  for documentation, process tracking, or dashboards.

• Certifications:

  Selenium, Playwright, Postman, or AI/ML certifications.

• QA Certifications:

  ISTQB, CSTAS, or equivalent.