Senior GenAI Test Automation Engineer

Degreed

6 - 11 years

6 - 10 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

quality process continuous integration cd software testing automation testing blazemeter manual testing ci/cd jmeter cypress load testing automation java git ui selenium integration jenkins debugging api typescript api testing ci cd pipeline jira

Work Mode

Work from Office

Job Type

Full Time

Job Description

Minimum 6 years of automation testing experience for modern web, API, or backend services
At least 1.5 years of hands-on testing experience with GenAI or LLM-based applications
Strong skills in developing automated tests for UI, API, and end-to-end flows using Cypress and Typescript
Hands-on experience with JMeter or BlazeMeter for performance and load testing
Experience identifying and testing for hallucinations, bias, and data privacy risks in AI systems
Proficient in integrating automated tests within CI/CD pipelines
Strong analytical, problem-solving, and debugging abilities
Effective communicator and collaborator in a cross-functional, embedded team environment
Proactive, detail-oriented, and committed to responsible AI testing practices

Key Responsibilities

Design, develop, and maintain automated test suites for GenAI and AI-driven features (regression, integration, end-to-end, and performance)
Own the quality and reliability of AI products by rigorously testing for hallucinations, privacy risks, and bias
Collaborate closely with AI engineers, product managers, and data scientists throughout the feature lifecycle
Utilize Cypress, JMeter/BlazeMeter to validate both functional and performance aspects of GenAI systems
Integrate quality processes and best practices into the AI team s workflows
Contribute to release readiness and provide actionable quality metrics to stakeholders
Advocate for responsible and ethical AI testing standards within the team
Stay current with the latest techniques and tools in GenAI testing and automation
Foster a culture of continuous improvement and trust in AI-powered experiences

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