Prompt Engineering Interview Questions

Introduction

A bank of real interview questions from top AI companies. Practice answers out loud.

Beginner analogy: Like LeetCode for prompt eng.

Understanding the topic

Core concepts to understand:

• What is prompt engineering and why is it valuable?
• Zero-shot vs few-shot — when each?
• How reduce hallucinations?
• Design a prompt eval pipeline.
• How handle prompt injection?
• Multi-model routing — design.
• When fine-tune vs prompt?
• How version prompts?
• Walk through an agentic prompt loop.
• Cost optimisation strategies?

Syntax reference

Visual workflow / architecture:

Practice format: Question → 60s answer → critique → improve

Real-world use

Sourced from OpenAI, Anthropic, Cursor, Scale AI, Klarna interview loops in 2025.

Best practices

• Answer out loud against a timer.
• Record yourself; review.
• Pair with eval numbers when possible.

Hands-on exercise

Interview preparation — practice these questions:

• Q1. Pick any — answer in 60s.
• Q2. Repeat at 30s.
• Q3. Repeat with whiteboard.
• Q4. Repeat in a different domain.