InterviewCompany
Reliable AI systems, safety evaluation, agent behavior, and enterprise LLM workflows.
Use permissioning, tool constraints, evals, audit logs, and clear refusal behavior.
A strong answer discusses data boundaries, least-privilege tools, prompt-injection defenses, human escalation, and monitoring unsafe outputs.
Clear task decomposition, constrained tools, state tracking, retries, and evaluation.
Reliability improves when the agent has explicit plans, limited actions, validation checks, recovery paths, and observability for each tool call.
Create tasks that require locating, combining, and reasoning over distant information.
Needle tests alone are not enough. Include summarization, contradiction detection, multi-hop retrieval, and realistic document workflows.
Minimize data, redact where possible, enforce access control, and log safely.
Discuss PII handling, retention policy, tenant isolation, encryption, and review workflows for sensitive outputs.