Infosys Agentic AI Engineer Interview Questions
The questions to prepare for a Infosys Agentic AI Engineer interview. Questions from real interview reports rank first. Updated weekly.
Design state and memory management for long running agentic workflows with retrieval, persistence, serving, and failure handling.
InfosysDesign an API-calling agent that stays grounded in tool outputs and limits hallucinations during multi-step execution.
InfosysDesign a production LLM reasoning system that uses Chain-of-Thought or Tree-of-Thought with practical controls for latency, quality, and safety.
InfosysDesign a low latency RAG system over millions of documents, with scalable retrieval, ranking, generation, and production monitoring.
InfosysTests adaptability under changing requirements, with emphasis on prioritization, ambiguity management, and ownership during a technical pivot.
InfosysDesign an approach for feeding streaming events into an agent loop with low latency, state management, and operational visibility.
InfosysDesign an evaluation framework for non deterministic AI agents with repeatable metrics, confidence bounds, and coverage across task types.
InfosysDesign a CI/CD pipeline for AI model deployment with automation, orchestration, infrastructure, and quality gates.
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