QE AI Engineer (Python)

Overview

As a QE AI Engineer, you will advance quality engineering across the SDLC by building reusable QE assets, accelerators, and automation frameworks. You will apply AI-enabled approaches to test generation, data preparation, defect analysis, and quality reporting, helping delivery teams embed quality earlier. You’ll work closely with engineers and product teams to deliver fit-for-purpose QE solutions and productivity tooling. This role offers the chance to shape AI-assisted QE capabilities and scale modern software delivery within a global organization.

Pay / Benefits

• flexible work options
• continuous learning and development
• wellbeing support
• career growth opportunities
• inclusive and diverse workplace
• employee development programs

Responsibilities

• Design, build, test, and maintain QE solutions across the SDLC
• Develop reusable QE assets, accelerators, and automation frameworks
• Apply shift-left quality practices across development teams
• Automate web, API, and non-functional testing
• Contribute to AI-enabled QE use cases: test generation, data preparation, defect analysis, quality metrics and reporting, productivity tooling
• Handle structured and unstructured data to support AI QE
• Evaluate automation/AI effectiveness and propose improvements
• Monitor progress, identify issues, and assist with delivery challenges
• Collaborate with developers, product teams, and engineers to deliver fit-for-purpose solutions
• Review code, designs, and tests; mentor teammates in QE and AI practices

Key requirements

• Software engineering or SDET/Quality Engineering background
• Hands-on automation development experience
• Experience across full SDLC beyond test execution
• Proficiency in Python (must), Java, JavaScript/TypeScript, or C#
• Web, API, and non-functional testing experience
• CI/CD pipelines for automated tests
• OO programming and modern engineering practices
• Git-based source control and collaborative workflows
• Strong problem-solving and communication skills
• Ability to work independently and collaboratively
• Strong communication
• Collaborative mindset
• Mentoring and knowledge sharing
• Python (MUST)
• Java/JavaScript/TypeScript or C#
• Web testing

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