Guardrails Interview Questions for 2 Years Experience

Medium AI Agents interview question on openai swarm / agents sdk patterns — architecture, trade-offs, eval, and production patterns.

Scenario question on LLM guardrails — prompt injection defense, output validation, NeMo/Guardrails patterns, and policy layers.

Constitutional AI is Anthropic's differentiator and a must-know for Claude-focused interviews. Go beyond the marketing — explain the self-critique training loop, how CAI compares to RLHF, and practical safety implications for production deployments.

**Usage** Separate small model for moderation latency.

**Eval dimensions** SWE-bench-style tasks on private repo sample; CI fix rate; hallucinated APIs.

Database MCP is high risk/high value — interviewers probe your safety instincts hard.

Prompt patterns for prohibitions, scoped refusals, alternatives, and measuring over-refusal vs under-refusal.

Company-based prompt design applying principle hierarchies, helpful-harmless-honest trade-offs, and critique passes inspired by Constitutional AI.

Label definitions, calibration examples, abstain classes, and structured outputs for production classifiers without fine-tuning.

Build golden sets, error taxonomy, automated graders, and human review loops to iterate prompts like production software.

Cross-language prompt design covering translation drift, code-switching, locale formatting, and eval gaps in multilingual products.

MLOps for prompts: semantic versioning, eval gates, traffic splitting, and rollback when prompt changes regress quality or cost.

Foundational prompt engineering question on instruction placement, example selection, and when demonstrations beat bare instructions.

Medium AI Agents interview question on agent ux: streaming plans and progress — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on tool schema design and versioning — architecture, trade-offs, eval, and production patterns.

Easy AI Agents interview question on when not to use an agent — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on agent tracing and replay debugging — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on agent cost caps and budget controllers — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on coding agent diff review policies — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on stateful agents across sessions — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on agent failure modes and recovery — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on parallel tool calls and fan-out — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on research agent with citations — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on swarm vs supervisor multi-agent design — architecture, trade-offs, eval, and production patterns.