Software QA Engineer

Overview:

We are looking for a Software QA Engineer with expertise in AI-driven testing, automation (Selenium, Python, Robot Framework), and Generative AI validation. The role involves designing test strategies, validating AI models, and ensuring software quality in a cloud-based (AWS) and CI/CD environment.

Key Responsibilities:

Work closely with developers and product teams to understand AI-driven feature requirements.

• Develop comprehensive test plans and strategies for AI functionalities.

• Identify and execute test scenarios, edge cases, and risk assessments for AI models.

• Design and implement test cases to validate AI model inputs, outputs, and overall behaviour.

• Validate data preprocessing, feature extraction, and model response accuracy.

• Create and maintain automated test scripts for regression testing and continuous integration.

• Execute manual and automated tests using relevant testing frameworks.

• Assess AI algorithm performance under various datasets and conditions.

• Conduct stress and load testing to evaluate system robustness.

• Document and report defects using issue tracking systems.

• Work closely with developers to reproduce and debug issues, providing comprehensive insights.

• Validate bug fixes and software enhancements related to AI features.

• Share best practices and knowledge within the QA team to enhance quality and innovation.

Requirements

What We Look For:

5+ years of experience in software quality assurance with a focus on AI feature validation and automation testing.

Mandatory Skills:

• Hands-on experience in testing AI-driven features.

• Strong knowledge of Generative AI and the ability to validate AI responses across different models.

• Expertise in Manual & Automation Testing using Selenium and element locators.

• Proficiency in Selenium and Python (Robot Framework).

• Ability to design and implement test cases (manual & automation) with an out-of-the-box approach.

• Basic understanding of Cloud Technologies (AWS).

• Experience with CI/CD processes (Jenkins, GitLab).

• Strong familiarity with Linux environments.

• Solid understanding of databases for validation and testing.

• Deep knowledge of the Agile development process.

• Ability to quickly learn and adapt to new technologies and products.

• Strong analytical skills to rapidly understand and apply testing requirements.

• Self-motivated, proactive, and collaborative team player.

• Excellent communication skills (written and verbal), capable of interacting with senior executives.

Preferred Skills:

• Experience with other automation frameworks.

• Exposure to networking concepts.