Sybrant: AI-Powered Test Automation Engineer

Software Testing
Chennai
May 20, 2025
6 ₹ LPA - 9 ₹ LPA / year
Full Time

Job Description

📍 Location: Chennai, India
🏢 Company: Sybrant Technologies
🧑‍💻 Role: AI-Powered Test Automation Engineer
🧠 Experience: 1–2+ Years
🎓 Qualification: B.Com / M.Com / BBA
🗓️ Posted On: April 15, 2025
📅 Application Deadline: November 30, 2025
💼 Employment Type: Full-time, Onsite

🌟 About Sybrant Technologies
Sybrant Technologies is at the forefront of digital transformation, delivering AI-powered software development, data services, testing, lease management, and KPO solutions. As a PreludeSys Group Company, Sybrant combines technical expertise with innovative solutions to help clients achieve their business objectives efficiently.

🛠️ Role Overview
As an AI-Powered Test Automation Engineer, you will design and implement AI-augmented test automation frameworks to enhance testing efficiency, coverage, and accuracy. This role involves integrating AI/ML models into test automation processes, utilizing advanced tools and technologies to optimize software quality assurance.

✅ Required Skills and Qualifications

  • Test Automation Expertise:

    • Strong experience with test automation frameworks such as Selenium, Pytest, or Robot Framework.

  • Programming Skills:

    • Proficiency in Python or Java for AI testing integrations.

  • AI Testing Tools:

    • Familiarity with AI testing tools like Testim, Mabl, and Applitools.

  • Machine Learning Concepts:

    • Basic understanding of machine learning concepts, including model training and data labeling for testing.

💡 Preferred Qualifications (Good to Have)

  • LLM-Based Test Generation:

    • Experience with LLM-based test generation (e.g., using ChatGPT for test scripts).

  • Anomaly Detection:

    • Knowledge of anomaly detection in test results.

 

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Responsibilities

🎯 Key Responsibilities
Test Automation Development:

Develop AI-enhanced test automation scripts using Python or Java with tools like Selenium, Playwright, or Cypress.

Implement self-healing tests that auto-correct locators.

Detect flaky tests by predicting unstable test cases.

Generate test cases using Large Language Models (LLMs) such as GPT-4 or Gemini.

Visual Testing:

Utilize visual testing tools like Applitools and Percy with AI for UI validation.

Predictive Analytics:

Optimize test suites by prioritizing high-risk areas using predictive analytics.

CI/CD Integration:

Work with CI/CD pipelines (e.g., Jenkins, GitHub Actions) for AI-driven test execution.

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