QA Engineer / Senior QA Engineer – GenAI Testing

Job Description – QA Engineer (Python + GenAI Testing + UiPath) Role QA Engineer / Senior QA Engineer – GenAI Testing Experience 4-8 Years Job Summary We are looking for a highly skilled QA Engineer with strong experience in Python, UI Automation, UiPath, API Testing, and GenAI Application Testing. The candidate will be responsible for validating AI-powered applications, Agentic AI workflows, RAG solutions, LLM-based chatbots, and enterprise automation solutions. The ideal candidate should possess a strong testing mindset and be capable of validating both traditional software applications and AI-driven systems. Mandatory Skills Python  Test Automation Development  API Automation using Python  Data Validation Scripts  JSON Processing UI Automation UiPath  UiPath Studio  UiPath Test Suite  Workflow Validation  UiPath Orchestrator  End-to-End Automation Testing API Testing  Postman  REST APIs  Swagger  JSON/XML Validation Database Testing  SQL  Data Reconciliation  Backend Validation Defect Management  Jira Agile  Scrum  Sprint Testing  Test Planning & Estimation GenAI Testing Experience (Good to have) Candidate should have hands-on experience testing one or more of: GenAI Validation  Prompt Testing  Prompt Engineering Validation  Output Verification  Hallucination Detection  Grounding Validation  Toxicity Testing  Bias Testing  Response Quality Evaluation Agentic AI Testing  Multi-Agent Workflows  Agent Decision Validation  Human-in-the-Loop Testing Enterprise AI Use Cases Experience testing:  AI Chatbots  Virtual Assistants  Document Processing Solutions  Document Q&A Systems Key Responsibilities  Create Test Strategy for GenAI applications.  Design test cases for LLM and RAG systems.  Build Python-based automation frameworks.  Validate AI-generated outputs.  Perform UiPath workflow testing.  Execute UI, API, Database, and Integration testing.  Track defects and support root cause analysis.  Automate regression test suites.  Validate AI response correctness and consistency.  Perform performance and reliability testing for AI applications.  Work closely with Architects, Developers, Product Owners, and Business teams.