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Updated weekly · Last refresh Sep 22

Salesforce AI Engineer Interview Questions

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

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1
System DesignStart here. 4 questions · ~46 min
Design a Collaborative Spreadsheet ServiceHard

Design a Google Sheets-like backend with concurrent editing, durable storage, snapshots, and scalable save/load paths.

production systemsdatabase accessdistributed systemsSalesforce
Design a Low Latency RAG PlatformHard

Design a low latency RAG system over millions of documents, with scalable retrieval, ranking, generation, and production monitoring.

low latencyscalabilityRAG architectureSalesforce
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2
Generative AI & LLMs6 questions · ~68 min
Implementing AI Agent SystemsHard

Describe an AI agent you built, including orchestration, tools, evaluation, safety, and cost-latency decisions.

tool useLLM AgentsLLM EvaluationSalesforce
Tool Orchestration in Multi-Agent SystemsHard

Explain tool orchestration, conflict resolution, and bounded recovery for non-deterministic multi-agent LLM workflows.

Conflict Resolutionmulti-agent systemstool useSalesforce
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3
Coding4 questions · ~46 min
Multi-threaded Web Crawler for EmbeddingsHard
Practice

Crawl reachable HTML concurrently, extract clean text, follow links, and remove duplicate documents deterministically.

deduplicationasync processingAlgorithmsSalesforce
Log Parser for Latency TelemetryMedium
Practice

Parse latency telemetry from unstructured logs and compute nearest-rank P50, P95, and P99 values.

aggregationlog parsingAlgorithmsSalesforce
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4
Behavioral & Leadership4 questions · ~46 min
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5
More topics2 questions · ~23 min
Evaluate RAG Retrieval and AnswersMedium

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

HallucinationRetrievalModel MetricsSalesforce
Agent Metrics for Salesforce DeploymentHard

Explain how to define, track, and visualize success metrics for an Agentforce customer support resolution deployment.

agentic qualityevaluation metricscustomer supportSalesforce

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