IBM India AI Engineer Interview Questions
The questions to prepare for a IBM India AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Design a practical framework for comparing LLM quality, reliability, latency, cost, and safety in production.
Approach for improving a model's accuracy by checking data, features, validation, and threshold choices.
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Design a multi-agent architecture that decomposes complex work, coordinates specialists, verifies results, and controls cost, latency, and safety.
Design a high-throughput RAG pipeline that grounds answers, detects unsupported claims, and balances quality, latency, and cost.
Design a low-latency, cost-aware serving platform for multiple fine-tuned LLMs under variable traffic.
Tests conflict resolution, communication, accountability, and the ability to preserve team effectiveness.