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QA Engineer – GenAI & Agentic AI

Aftab AlamRemoteMIDPosted 2h ago
GenAILLM TestingAgentic AIRAG TestingLangChainLangGraphCrewAIAutoGenQA AutomationAPI TestingPythonPyTestPostmanREST APIsRAGASDeepEvalTruLensAI guardrailsprompt injectionjailbreak testingAI securityvector databasesPineconeFAISSChromaDBAzure AI SearchSeleniumPlaywrightCypressResponsible AIAI governance
About the Role EazyML is looking for a skilled QA Engineer – GenAI & Agentic AI to join their team and help ensure the reliability, accuracy, performance, and security of next-generation AI applications. Key Responsibilities • Test and validate GenAI and Agentic AI applications • Evaluate LLM responses for accuracy, relevance, and consistency • Validate RAG pipelines and multi-agent workflows • Identify hallucinations, edge cases, and AI security vulnerabilities • Develop automated test cases and improve overall product quality Requirements • 3–7 years of experience in QA engineering • Experience testing LLM-based applications, prompt engineering, hallucination detection, and AI response validation • Understanding of AI agents, multi-agent workflows, RAG pipelines, agent orchestration, and frameworks such as LangChain, LangGraph, CrewAI, or AutoGen • Strong experience in Python, PyTest, API testing (Postman/REST APIs), functional testing, and automation frameworks

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