AI-Powered Quality Assurance Specialist

1 day ago

Peshawar City Tehsil, Pakistan beBeeAutomation Full time $90,000 - $120,000
Job Overview:

We are seeking a talented Quality Assurance Engineer to join our team. This is an exciting opportunity to work on cutting-edge AI-powered automation products.

About the Role:
  • This QA Engineer will be responsible for ensuring the reliability, performance, and scalability of our automation products.
  • The ideal candidate will own the end-to-end quality assurance process, designing and executing test strategies, building automated test frameworks, and pioneering AI-driven QA approaches.
Key Responsibilities:
  • Define and execute comprehensive QA strategies for AI automation products.
  • Collaborate with Engineering, Product, and Solution Enablement teams to translate requirements into robust test plans.
  • Identify potential edge cases, failure points, and system-level risks early in the development lifecycle.
A Day in the Life:
  • Review overnight CI/CD test runs, investigate failures, and triage issues.
  • Meet with Engineering to discuss new feature test coverage.
  • Develop automated test scripts for a new API integration.
  • Explore AI-based tools for generating synthetic test data.
  • Run end-to-end validation on a new customer-facing automation workflow.
  • Host a sync with Product to clarify acceptance criteria.
  • Document reusable test patterns.
  • Research the latest in AI-assisted QA frameworks and propose experiments.
Required Experience:
  • Technical skills: 3+ years of experience in QA, software engineering, or test automation, strong programming skills in Python and/or JavaScript, solid understanding of APIs, system integrations, and test automation frameworks, experience with CI/CD systems (e.g., GitHub Actions, Jenkins, GitLab CI), familiarity with AI/ML-driven testing tools (or strong desire to learn and implement).
  • Analytical & Collaborative skills: strong problem-solving skills and ability to break down complex systems into testable components, excellent communication skills—able to partner with engineers, product managers, and non-technical stakeholders, detail-oriented and relentless about ensuring product quality.
  • Mindset: self-motivated, resourceful, and curious about new technologies, comfortable working in a dynamic startup environment, passionate about automation, AI, and building high-quality software.

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