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 robust 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 explicit 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 (India)
🏢 Genpact
📍 India