Job Description: QA Engineer (Mid-Level, GenAI Applications)

Experience: 59 years

About the Role

We are seeking a hands-on QA Engineer with solid experience in testing Python-based APIs, React applications, and AWS deployments, combined with exposure to GenAI workflows. This role is critical in ensuring the quality, accuracy, and reliability of a GenAI-powered Assistant

The ideal candidate will have strong API/UI testing skills, automation experience, and a curiosity for validating GenAI features such as prompt outputs, vector database retrievals, and RAG-based responses.

Key Responsibilities

- Functional & API Testing
- Test RESTful APIs (FastAPI) for functionality, performance, and security.
- Validate API integrations with front-end React applications.
- Ensure consistency and correctness of data across services.

- Automation & Frameworks

- Build and maintain automated test scripts using Python (Pytest), Postman/Newman, or similar frameworks.
- Automate UI tests for React applications (Playwright, Cypress, Selenium).
- Integrate automated tests into CI/CD pipelines.

- GenAI-Specific QA

- Test LLM prompts and workflows for correctness, consistency, and reduced hallucinations.




- Validate RAG pipelines (retrieval-augmented generation) and ensure vector database lookups return accurate results.
- Collaborate with engineers to define LLM evaluation criteria (relevance, factual accuracy, completeness).

- Performance & Reliability Testing

- Conduct performance/load testing using tools like JMeter, Locust, or k6.
- Validate application scalability on AWS-hosted environments.

- Collaboration & Agile Practices

- Work closely with squad leads, backend/frontend engineers, and product owners.
- Participate in sprint ceremonies, defect triage, and backlog grooming.
- Provide clear defect reports and root cause analysis.

Required Skills & Experience

- 5–9 years of QA/testing experience with enterprise applications.
- Robust hands-on skills in:
- API testing (Postman, REST Assured, Swagger).
- UI testing (Cypress, Playwright, Selenium).
- Automation frameworks in Python (Pytest).

- Familiarity with databases (SQL/NoSQL) for data validation.
- Exposure to AWS-hosted applications and CI/CD testing workflows.
- Experience in performance/load testing.

📌 Python Automation Test Engineer - Gen AI (Telangana)
🏢 Genpact
📍 Telangana