QA Engineer -AI Platform & Automation Testing

4 - 8 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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About Droidal

Quality Assurance (QA)


Role Overview

QA Engineer

manual and automated testing frameworks


Key Responsibilities

  • Develop and execute

    test plans, cases, and scripts

    for the AI platform and agent workflows.
  • Perform

    functional, regression, integration, and performance testing

    for web and API modules.
  • Build and maintain

    automated test frameworks

    for continuous integration and deployment (CI/CD).
  • Collaborate with developers and AI teams to identify test scenarios for new features and enhancements.
  • Conduct

    data validation

    and ensure AI agent accuracy across input/output datasets.
  • Track, log, and manage defects using issue-tracking tools (e.g., Jira).
  • Assist in creating

    test data and mocks

    for various AI and automation workflows.
  • Ensure that all AI agents meet defined

    quality, performance, and reliability standards

    before release.
  • Provide QA sign-off for production deployment and post-release verification.


Required Skills & Experience

  • 4 - 8 years

    of experience in Quality Assurance or Software Testing.
  • Hands-on experience in

    automation tools

    such as Selenium, Cypress, Appium, or Playwright.
  • Experience with

    API testing tools

    (Postman, REST Assured) and

    performance testing tools

    (JMeter, LoadRunner).
  • Familiarity with

    Python or Java-based test frameworks

    (PyTest, TestNG).
  • Experience in

    CI/CD environments

    (Jenkins, GitHub Actions, or equivalent).
  • Understanding of

    AI/ML or RPA systems

    and testing AI-driven workflows (preferred).
  • Strong analytical and problem-solving skills with attention to detail.
  • Familiarity with Agile/Scrum environments.
  • Excellent documentation and communication skills.


Preferred Qualifications

  • Experience testing

    SaaS, automation, or AI platforms.

  • Exposure to

    cloud-based environments

    (AWS/Azure/GCP).
  • Working knowledge of

    data-driven or behavior-driven testing

    methodologies.
  • ISTQB or equivalent QA certification.


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