AI Agentic Tester
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Role details
Tech stack
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Job description
Validate AI agent workflows against business requirements. Test end-to-end AI use cases, including multi-agent interactions. Verify task completion accuracy and output quality. Test agent orchestration, tool calling, and workflow execution. AI Model Validation
Evaluate LLM responses for accuracy, relevance, and consistency. Test prompt engineering effectiveness and response quality. Validate Retrieval-Augmented Generation (RAG) outputs. Measure hallucination rates and response reliability.
Requirements
Skills: QA/Test Engineering experience Must have- Experience testing Generative AI, LLM, or AI-based applications., 3-8 years of QA/Test Engineering experience. Experience testing Generative AI, LLM, or AI-based applications. Knowledge of AI Agents, Agentic AI, RAG, and prompt engineering. Hands-on experience with API testing (Postman, Swagger, REST APIs). Experience with automation frameworks (Selenium, Playwright, PyTest). Proficiency in Python. Understanding of AI evaluation metrics and testing methodologies Knowledge of Azure OpenAI, AWS Bedrock, Gemini, or similar AI platforms Appreciate your quick response and please feel free to reach me out for any query you may have.
Benefits & conditions
Desirable Skills: Keyword: Skills: Modern Functional Quality Engineering Experience Required: 2-4 Years
PFB the responsibilities and skills needed:
Functional Testing
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Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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