We are looking for QA Engineers with 5+ years of experience to test AI-powered applications, LLM applications, RAG systems, and agentic AI workflows. The candidates will work under the Senior QA/Test Strategy Lead and will be responsible for executing functional and AI-specific testing while building automated test coverage.

Key Responsibilities
Develop and execute functional and non-functional test cases.
Test AI/GenAI-powered applications across different user scenarios.
Validate LLM responses for accuracy, relevance, consistency, groundedness, and completeness.
Test RAG pipelines including retrieval quality and response grounding.
Test AI agents for tool selection, tool execution, workflow completion, and failure handling.
Create test datasets and evaluation scenarios for AI applications.
Execute AI regression tests following model, prompt, or application changes.
Perform API testing and integration testing.
Automate repetitive test scenarios.
Identify, document, and track defects.
Perform root-cause analysis in collaboration with developers.




Validate fixes and conduct regression testing.
Test edge cases, adversarial inputs, and unexpected user behavior.
Support performance and reliability testing.
Integrate automated testing into CI/CD pipelines.
Maintain test documentation and quality reports.

Required Skills
5+ years of QA/software testing experience.
Robust understanding of functional, regression, integration, and API testing.
Experience with automation testing.
Robust knowledge of REST APIs and tools such as Postman.
Experience with Selenium, Playwright, Cypress, or equivalent.
Experience testing AI/ML/GenAI applications strongly preferred.
Understanding of LLM behavior and AI application testing.
Understanding of prompt testing and AI evaluation.
Solid analytical and debugging skills.
Working knowledge of Python or another scripting language.
Experience working in Agile development environments.

Pref

📌 Quality Assurance Engineer Hyderabad
🏢 Cloud Angles Digital Transformation
📍 Hyderabad