HCLTech GenAI Engineer Interview Questions

Design a re-ranker that improves relevance, diversity, and business constraints after initial retrieval and ranking.

ML Rankinginference latencyFeature DriftHCLTech

Design a practical token-budgeting and fallback strategy for applications that exceed an LLM context limit.

ml inferenceapi gatewayfailure modesHCLTech

Design a privacy-preserving process for fine-tuning and prompting models while preventing sensitive data leakage.

data securitydata preprocessingmodel fine-tuningHCLTech

Explain how LangChain composes prompts, models, tools, memory, and retrieval into testable modular AI applications.

model architectureinterpretabilitymodel choiceHCLTech

Deduplicate inference requests and group them into ordered batches to improve Python throughput.

Arraysasync processingperformanceHCLTech

Design an idempotent pipeline that keeps PostgreSQL records and VectorDB embeddings synchronized while preserving query performance.

indexingdatabasedata consistencyHCLTech