AI Architect

Description

Interview questions for AI Architect

Interview Questions (64)

Q1What is Agentic AI?
Technical
Q2How does Agentic AI differ from Generative AI?
Technical
Q3What are the core components of an AI agent?
Technical
Q4What is a reasoning loop?
Technical
Q5What is planning in agentic systems?
Technical
Q6What types of memory do AI agents use?
Technical
Q7How does vector memory support AI agents?
Technical
Q8What are tools in Agentic AI?
Technical
Q9How does an agent select the appropriate tool?
Technical
Q10How would you design an autonomous customer support agent?
Situational
Q11How would you reduce incorrect financial recommendations?
Situational
Q12How would an AI agent conduct research autonomously?
Situational
Q13How do you evaluate and test AI agents?
Technical
Q14What are common failure modes?
Technical
Q15What risks are associated with Agentic AI?
Technical
Q16How do you implement guardrails?
Technical
Q17What is the difference between autonomous and reactive planning?
Technical
Q18What strategies do you use for cost optimization in agentic systems?
Technical
Q19How does Agentic AI differ from traditional AI?
Technical
Q20How does Agentic AI differ from a simple LLM call or chatbot?
Technical
Q21What tools, libraries, and frameworks are commonly used to build agentic systems?
Technical
Q22Which LLMs have you worked with, and which are best suited for agents?
Experience
Q23Can you give an example of an agentic AI application and walk through its components?
Experience
Q24What are some agentic AI applications you have personally worked on?
Experience
Q25What excites you about working with Agentic AI?
Motivational
Q26What sources do you use to stay up to date with Agentic AI?
Experience
Q27Why is memory critical for AI agent performance?
Technical
Q28What are the different types of agent memory (short-term, long-term, episodic, working)?
Technical
Q29How would you approach building an AI agent from scratch?
Situational
Q30What is the role of orchestration in AI agents?
Technical
Q31What is task decomposition and why does it matter?
Technical
Q32What is the ReAct (Reason + Act) framework?
Technical
Q33What is Chain-of-Thought (CoT) prompting and why does it matter for agents?
Technical
Q34What is the difference between the system prompt and the user prompt?
Technical
Q35What is a context window and why is its size limited?
Technical
Q36What is Retrieval-Augmented Generation (RAG) and how does it improve agents?
Technical
Q37What is the difference between tool use and function calling?
Technical
Q38What is the role of prompt engineering in agentic systems?
Technical
Q39What are reasoning models, and have you used them?
Experience
Q40How do AI agents perceive and interact with their environment?
Technical
Q41What are cognitive agents and how are they modeled?
Technical
Q42What is the difference between collaborative agents and interface agents?
Technical
Q43What challenges have you faced when building agentic AI applications?
Experience
Q44What is the difference between a function-calling model and a true reasoning agent?
Technical
Q45How is agent routing implemented in multi-agent orchestration systems?
Technical
Q46How would you design a multi-agent system, and when is it preferable to a single agent?
Situational
Q47How do you program an agent to prioritize competing goals or tasks?
Situational
Q48What is Model Context Protocol (MCP) and how does it standardize tool integration?
Technical
Q49What is Agentic RAG, and how does it differ from standard RAG?
Technical
Q50What is tool hallucination and how do you prevent it?
Technical
Q51How do you handle agent failures and implement error recovery?
Situational
Q52What is LLM observability and why is it important?
Technical
Q53What are tracing and spans, and how do they help debug agents?
Technical
Q54What are evals, and how do you evaluate the performance and robustness of an agentic system?
Technical
Q55How do you monitor and evaluate agent performance in production?
Technical
Q56What is model fine-tuning, and how does it differ from model distillation?
Technical
Q57What is the human-in-the-loop (HITL) approach and when is it necessary?
Situational
Q58What security risks should be considered when deploying autonomous agents?
Technical
Q59How do you manage cost and latency in production agent deployments?
Technical
Q60How do you design guardrails for safe and predictable agent behavior?
Technical
Q61Walk me through how you would architect a customer-support agent that handles refunds, escalations, and follow-ups end-to-end.
Situational
Q62Your agent gets stuck in a reasoning loop in production. How do you diagnose and fix it?
Situational
Q63Design a CI/CD pipeline for an AI agent that includes a feedback loop for continuous improvement.
Situational
Q64How would you decide between fine-tuning, RAG, or agent-based orchestration for a given business problem?
Situational