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Updated weekly · Last refresh Oct 17

Wipro GenAI Engineer Interview Questions

The questions to prepare for a Wipro GenAI Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
CodingStart here. 4 questions · ~50 min
Caching LLM ResponsesMedium
Practice

Implement an LRU cache for LLM responses using a hash map and recency tracking.

cachingData StructurescacheWipro
Exponential Backoff API RetryMedium
Practice

Simulate retryable LLM API failures with capped attempts and exponential backoff delays.

apiAlgorithmsedge casesWipro
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2
Machine Learning5 questions · ~63 min
Random Forest FundamentalsHard

Explain Random Forest, train it on tabular data, and evaluate its accuracy, robustness, and interpretability.

model selectionEnsemble MethodsDecision TreesWipro
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3
More topics6 questions · ~75 min
Explain LLMs vs Traditional MLEasy

Explain what an LLM is and how it differs from traditional machine learning models in training, behavior, and typical use cases.

llm basicsMachine Learningmodel comparisonWipro
Async GenAI API EndpointHard

Design a reliable asynchronous API for submitting, tracking, and retrieving GenAI inference jobs.

GenAIapi designdistributed systemsWipro
Debug Inconsistent Pipeline OutputsHard

Explain a systematic approach to isolating and correcting inconsistent outputs in a batch or streaming data pipeline.

Data Qualitydata pipelineDebuggingWipro
Evaluating Generative Model QualityHard

Design a practical framework for measuring a generative AI model's quality, reliability, safety, and production performance.

Evaluation Techniquesmodel performanceevaluation metricsWipro
Inference Under ConstraintsHard

Explain how to reduce memory use and compute cost while preserving latency, quality, and reliability during large-model inference.

memory managementinference latencyModel ServingWipro
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