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 daily.
Explain how RAG, vector databases, Agentforce agents, and Prompt Builder work together in an enterprise AI system.
SalesforceDesign a production ML decision service with low latency serving, secure data handling, and scalable training and inference.
SalesforceImplement get and put operations for an LRU cache using a hash map and doubly linked list with constant-time updates and eviction.
SalesforceUse hash sets and dictionaries to verify API test coverage and passing status for all required endpoint/status pairs.
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Discuss how to integrate LLMs into an existing product using RAG, agent patterns, evaluation, and safety controls.
SalesforceExplain prompt engineering and RAG, how they differ, and when each is useful for improving LLM answer quality.
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.
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