Prompt Engineering Interview Questions and Answers

Description

Prompt Engineering Interview Questions and Answers basic to Advanced, Real-time Scenario-Based and Coding Based

Prompt Engineering  

•   Foundations: Master prompt basics: clear instruction framing, few‑shot and zero‑shot prompting, temperature/length controls, prompt templates, and prompt hygiene (context windows, token limits). Build hands‑on familiarity with major LLMs and playgrounds.
•   Practical skills: Create reproducible prompts for common tasks (summaries, classification, extraction), evaluate outputs with simple metrics, and version prompts alongside code.
•   Intermediate techniques: Use chain‑of‑thought and stepwise prompting, prompt chaining and orchestration, dynamic context injection, and prompt templates that integrate retrieval (RAG) and grounding. Instrument prompts with automated evaluation and A/B testing.
•   Tooling and pipelines: Build prompt libraries, integrate prompts into CI for regression checks, and combine prompts with retrieval, vector stores, and lightweight fine‑tuning or instruction tuning.
•   Advanced methods: Design hybrid systems using prompt engineering, fine‑tuning, and supervised adapters; apply prompt‑based safety filters, adversarial prompt testing, and prompt optimization (auto‑prompting, gradient‑based tuning). Lead reproducible evaluation frameworks and metric design for hallucination, faithfulness, and utility.
•   System design: Architect agentic workflows, multi‑step pipelines, and human‑in‑the‑loop feedback loops; set governance for prompt provenance, auditing, and model selection.
•   Strategy and governance: Define enterprise prompt standards, risk and compliance policies, supply‑chain controls, and organizational capability building for prompt literacy and stewardship. Drive vendor strategy and long‑term model governance.
•   Research and innovation: Sponsor R&D into automated prompt synthesis, evaluation metrics, model‑agnostic prompt compilers, and integration of multimodal prompting across vision, audio, and code.
• Cross‑cutting themes: Emphasize reproducibility, prompt versioning, safety and adversarial testing, evaluation metrics (accuracy, faithfulness, latency, cost), and developer tooling (prompt SDKs, templates, and monitoring).
• Hiring and assessment focus: Junior roles — prompt crafting exercises and basic evaluation; mid roles — RAG integration, prompt chaining, and automated tests; senior roles — system design, governance case studies, and measurable impact from prompt improvements.