Top 31
Prep plan
Updated weekly · Last refresh Aug 30

Infosys AI Engineer Interview Questions

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

31questions
~5htotal time
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1
CodingStart here. 6 questions · ~56 min
Top K Nearest DistancesMedium
Practice

Use a size-k heap to return the indices of the k smallest distances with deterministic tie-breaking.

Arraystop kHeapInfosys
Detect Cycles in Directed GraphMedium
Practice

Use DFS with recursion-state tracking to detect whether a directed dependency graph contains a cycle.

dfscycle detectionGraphsInfosys
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2
System Design4 questions · ~37 min
Design an LLM Serving PlatformHard

Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Cold StartFeature StoreModel ServingInfosys
Design an Enterprise RAG PipelineHard

Design an enterprise RAG system that balances retrieval quality, grounded answers, and low latency over frequently changing internal data.

latencyRAG pipelinesAccuracyInfosys
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3
Generative AI & LLMs12 questions · ~111 min
Choose Between RAG and Fine-TuningEasy

Compare RAG and fine-tuning, and decide when each is the better fit for an LLM product.

Infosys
Chunk Documents by TypeMedium

Chunking strategy for mixed document types in a RAG system.

Infosys
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4
Behavioral & Leadership7 questions · ~65 min
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5
More topics2 questions · ~19 min
Evaluate RAG Retrieval and AnswersMedium

Define metrics for retrieval quality, answer quality, and hallucination in a RAG style LLM application.

HallucinationRetrievalModel MetricsInfosys
Evaluate RAG Before and After LaunchMedium

Define an offline and online evaluation plan for a RAG system and an LLM application, including hallucination checks and post-launch experiments.

Evaluation TechniquesModel MetricsLLM EvaluationInfosys
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