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Hexaware Technologies AI Engineer Interview Questions

The questions to prepare for a Hexaware Technologies AI Engineer interview. Questions from real interview reports rank first. Updated weekly.

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1
NLPStart here. 9 questions · ~72 min
Compare Embedding Models for RAGMedium

Explain which embedding models you used in a Generative AI project and why they fit retrieval quality, latency, and domain text.

Language ModelsText ClassificationWord EmbeddingsHexaware Technologies
How Text Embeddings Become VectorsMedium

Explain how tokenization and embedding layers turn text into dense vectors, and how those vectors are used in NLP models.

Language ModelsWord EmbeddingsTokenizationHexaware Technologies
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2
Pipelines10 questions · ~80 min
Docker vs Kubernetes in PipelinesEasy

Explain how Docker and Kubernetes differ in a pipeline environment, especially around packaging, runtime, orchestration, and operations.

InfrastructureToolsOrchestrationHexaware Technologies
LangChain Scaling LimitationsMedium

Tests your awareness of operational and architectural constraints when using LangChain at scale.

InfrastructureOrchestrationQualityHexaware Technologies
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3
Coding17 questions · ~136 min
SOLID Principles ExplainedEasy

Tests your conceptual clarity of SOLID and ability to apply it in real systems.

ArraysStringsHexaware Technologies
FastAPI for Heavy GenAI ModelsHard

Tests your system design for throughput, latency, concurrency, and resource management.

ArraysStringsHexaware Technologies
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4
More topics3 questions · ~24 min
Fine-Tuning Strategies for GenAIHard

Tests your knowledge of fine-tuning approaches and when to use them effectively.

Hyperparameter TuningRegularizationDeep LearningHexaware Technologies
Predictive Analytics EnginesMedium

Tests your approach to designing and implementing predictive models and serving them effectively.

Cross-ValidationFeature EngineeringSupervised LearningHexaware Technologies
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