Description

You will engineer quality assurance practices for Generative AI applications, ensuring functionality and performance meet specifications.

This role is on-site.

Responsibilities

• Design, develop, and implement automated test scripts using Python.
• Conduct testing for Generative AI applications, verifying AI outputs and performance.
• Collaborate with cross-functional teams to define testing requirements and deliver software quality.
• Identify, record, and track bugs, providing detailed reports to the development team.
• Improve testing processes and methodologies to boost efficiency and effectiveness.

Required Skills

• 5+ years of experience in QA automation.
• Expertise in Python with Selenium, PyTest, and Robot Framework.
• Hands-on experience testing Gen AI applications and validating AI outputs.
• Understanding of LLM behavior, prompt testing, and evaluation metrics.
• Familiarity with AWS services, including AWS Lambda and Amazon Bedrock.
• Experience in test planning, test case design, and defect management.
• Knowledge of API testing tools (Postman, REST Assured) and CI/CD integration.
• Strong understanding of software testing methodologies and QA best practices.

Preferred Skills

• Ability to work effectively in an Agile/Scrum environment.

Key Skills

Education

Any Graduate