Salesforce Agentic AI Engineer Interview Questions
The questions to prepare for a Salesforce Agentic AI Engineer interview. Questions from real interview reports rank first. Updated weekly.
Explain prompt engineering and RAG, how they differ, and when each is useful for improving LLM answer quality.
SalesforceExplain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.
SalesforceDesign a production ML decision service with low latency serving, secure data handling, and scalable training and inference.
SalesforceTests debugging, deployment reasoning, and operational troubleshooting for agentic AI systems in production.
SalesforceUse hash sets and dictionaries to verify API test coverage and passing status for all required endpoint/status pairs.
SalesforceTests experimental design and metrics selection to evaluate real-world impact of agentic workflows.
SalesforceTests pipeline design for event processing, including deduplication and ordering guarantees.
SalesforceTests practical coding ability to optimize a component within an AI workflow.
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