Job Title:
Senior QA Engineer Backend, API & GenAI Testing
Experience:812 years
Location: Pune
Role Overview:
We are looking for a highly skilled and detail-oriented Senior QA Engineer with deep expertise in API Testing, Backend Validation, UI Testing, and strong exposure to GenAI-based systems. The ideal candidate should be capable of owning end-to-end QA strategy, driving automation, and ensuring high-quality delivery across complex, scalable applications.
Key Responsibilities:
- Lead end-to-end QA strategy for backend systems, APIs, and UI layers
- Design, develop, and execute robust test cases for RESTful APIs and microservices
- Validate data integrity, business logic, and system integrations across backend services
- Perform UI testing (manual + automation) for web applications
- Build and maintain automation frameworks for API and UI testing
- Work closely with developers, product teams, and architects to ensure quality at every stage
- Conduct performance, regression, and integration testing
- Identify, log, and track defects with strong debugging and root cause analysis
- GenAI Testing Responsibilities:
- Validate LLM-based applications for accuracy, consistency, and response quality
- Design test scenarios for prompt engineering, hallucination detection, and edge cases
- Evaluate model outputs, bias, safety, and reliability
- Work with GenAI pipelines including RAG (Retrieval-Augmented Generation) systems
- Ensure quality across AI workflows, embeddings, and vector databases
Required Skills:
Core QA & Backend Testing:
- Strong expertise in API Testing using tools like Postman, RestAssured
- Deep understanding of REST APIs, JSON, HTTP protocols
- Experience in microservices architecture testing
- Strong knowledge of SQL / database validation
Automation:
- Hands-on experience in test automation frameworks (Selenium, Playwright, Cypress)
- Experience with API automation and CI/CD integration
UI Testing:
- Strong experience in functional and regression testing for UI applications
- Exposure to cross-browser and responsive testing
GenAI / AI Testing:
- Hands-on experience or strong understanding of GenAI / LLM-based applications
- Familiarity with OpenAI, LangChain, vector DBs (Pinecone, FAISS, etc.)
- Experience in testing AI outputs, prompt validation, and evaluation frameworks
