Quality Assurance (QA) Engineer

Quality Assurance (QA) Engineer

Private Full Time GBP £ Competitive (Based on Experience)

TechHive AI

London, UK

1 month ago

Company Information

    TechHive AI is a leading technology company specializing in AI-driven solutions that transform businesses and enhance digital experiences. Our team is committed to innovation, efficiency, and delivering high-quality AI products. As we continue to grow, we are looking for a Quality Assurance (QA) Engineer to ensure the reliability, performance, and security of our cutting-edge AI applications.

     

Job Detail

Field : Software Testing / QA Engineering / AI & Tech

Full Job Description

We are seeking a Quality Assurance (QA) Engineer to develop and execute test plans, identify issues, and collaborate with developers to improve software quality. The ideal candidate should have experience in manual and automated testing with a strong understanding of AI-driven applications, web platforms, and APIs.

Key Responsibilities:

  • Develop, implement, and maintain test plans, test cases, and test scripts for AI-powered applications.
  • Conduct manual and automated testing to identify bugs, performance issues, and security vulnerabilities.
  • Work closely with developers and product teams to understand requirements and improve software quality.
  • Perform functional, regression, integration, and performance testing.
  • Identify, document, and track bugs using bug tracking tools (JIRA, Trello, etc.).
  • Collaborate on CI/CD pipelines to ensure seamless software deployment.
  • Conduct API testing and validation using tools like Postman, Selenium, or Cypress.
  • Ensure AI models and applications meet performance and accuracy standards.
  • Stay updated with QA best practices, automation tools, and AI industry trends.

Requirements:

  • Proven experience as a QA Engineer, Software Tester, or similar role.
  • Strong knowledge of software testing methodologies, tools, and best practices.
  • Experience with automated testing frameworks (Selenium, Cypress, TestNG, etc.).
  • Understanding of API testing tools like Postman.
  • Familiarity with CI/CD pipelines and version control systems (Git, Jenkins, etc.).
  • Basic knowledge of AI/ML applications is a plus.
  • Excellent problem-solving skills and attention to detail.

Apply Process

hr@techhive.ai