AI Agentic Engineer

Description

Description / Content: AI Agentic Engineer role focused on designing and building intelligent agents for realistic voice interviews, adaptive interview flows, prompt engineering, LLM APIs, real-time voice interaction, scoring algorithms, and improving agent behavior.

Interview Questions (173)

Q1What are foundation models, and how have they changed AI engineering?
Technical
Q2What is a Large Language Model (LLM), and how does it work?
Technical
Q3What is the Transformer architecture and how does it work?
Technical
Q4What is tokenization in LLMs?
Technical
Q5What is self-attention, and how does it work in Transformers?
Technical
Q6What is Cross Attention in Transformers?
Technical
Q7What is causal masking?
Technical
Q8What are multi-head attention mechanisms? Why use multiple attention heads?
Technical
Q9What is Generative AI?
Technical
Q10What is the context window in LLMs, and why does it matter?
Technical
Q11What is temperature in the context of LLMs, and how does it affect output?
Technical
Q12What is the difference between open-source and closed-source LLMs? When would you choose one over the other?
Technical
Q13What is the difference between encoder-only, decoder-only, and encoder-decoder Transformer architectures?
Technical
Q14What is model distillation, and how is it used with LLMs?
Technical
Q15What is fine-tuning, and when should you fine-tune an LLM?
Technical
Q16What is the difference between full fine-tuning and parameter-efficient fine-tuning (PEFT)?
Technical
Q17What is LoRA (Low-Rank Adaptation), and how does it work?
Technical
Q18What is QLoRA, and how does it enable fine-tuning on consumer hardware?
Technical
Q19What is the role of metadata in vector databases?
Technical
Q20What is a vector database, and how does it differ from a traditional database?
Technical
Q21What is Retrieval-Augmented Generation (RAG), and why is it important?
Technical
Q22What is prompt engineering, and why is it critical for AI applications?
Technical
Q23What is the difference between autoregressive and masked language modeling?
Technical
Q24What is the difference between structured output and function calling?
Technical
Q25What is the difference between single-agent and multi-agent systems?
Technical
Q26What is the human-in-the-loop pattern for agents, and when is it needed?
Technical
Q27What is agent orchestration, and how do you implement it?
Technical
Q28What is the difference between reactive and proactive agents?
Technical
Q29How do you evaluate and test AI agents?
Technical
Q30What is the role of feature flags in AI deployments?
Technical
Q31How do you implement logging and tracing for LLM applications?
Technical
Q32How do you handle PII and sensitive data in LLM inputs and outputs?
Technical
Q33How do you implement content filtering for AI outputs?
Technical
Q34How do you handle model updates and migrations without downtime?
Technical
Q35How do you implement A/B testing for LLM systems?
Technical
Q36How do you design for latency vs quality trade-offs in AI systems?
Technical
Q37How do you manage secrets and API keys securely in LLM applications?
Technical
Q38How do you implement structured output from LLMs reliably in production?
Technical
Q39How do you handle long contexts efficiently in production (context compression, prefix caching)?
Technical
Q40How do you implement rate limiting and throttling for LLM APIs?
Technical
Q41How do you design an AI system for high availability and fault tolerance?
Technical
Q42How do you handle failover and fallback strategies for AI systems?
Technical
Q43How do you implement fallback strategies when the primary model is unavailable or rate-limited?
Technical
Q44How do you design an AI system that gracefully degrades when the model is unavailable?
Technical
Q45How do you approach capacity planning for an AI system?
Technical
Q46How do you evaluate LLM outputs? What metrics do you use?
Technical
Q47What is evaluation-driven development for AI applications?
Technical
Q48What is adversarial testing for AI systems?
Technical
Q49How do you build a regression test suite for AI applications?
Technical
Q50What is red teaming, and how do you red team an LLM application?
Technical
Q51How do you detect and measure hallucinations in LLM outputs?
Technical
Q52What is G-Eval, and how does it use LLMs for evaluation?
Technical
Q53What is LLM-as-a-judge evaluation, and what are its limitations?
Technical
Q54What are benchmark suites for evaluating AI systems?
Technical
Q55What is Agentic AI?
Technical
Q56How does Agentic AI differ from Generative AI?
Technical
Q57What are the core components of an AI agent?
Technical
Q58What is a reasoning loop?
Technical
Q59What is planning in agentic systems?
Technical
Q60What types of memory do AI agents use?
Technical
Q61How does vector memory support AI agents?
Technical
Q62What are tools in Agentic AI?
Technical
Q63How does an agent select the appropriate tool?
Technical
Q64How would you design an autonomous customer support agent?
Situational
Q65How would you reduce incorrect financial recommendations?
Situational
Q66How would an AI agent conduct research autonomously?
Situational
Q67What are common failure modes?
Technical
Q68What risks are associated with Agentic AI?
Technical
Q69How do you implement guardrails?
Technical
Q70What is the difference between autonomous and reactive planning?
Technical
Q71What strategies do you use for cost optimization in agentic systems?
Technical
Q72How does Agentic AI differ from traditional AI?
Technical
Q73How does Agentic AI differ from a simple LLM call or chatbot?
Technical
Q74What tools, libraries, and frameworks are commonly used to build agentic systems?
Technical
Q75Which LLMs have you worked with, and which are best suited for agents?
Experience
Q76Can you give an example of an agentic AI application and walk through its components?
Experience
Q77What are some agentic AI applications you have personally worked on?
Experience
Q78What excites you about working with Agentic AI?
Motivational
Q79What sources do you use to stay up to date with Agentic AI?
Experience
Q80Why is memory critical for AI agent performance?
Technical
Q81What are the different types of agent memory (short-term, long-term, episodic, working)?
Technical
Q82How would you approach building an AI agent from scratch?
Situational
Q83What is the role of orchestration in AI agents?
Technical
Q84What is task decomposition and why does it matter?
Technical
Q85What is the ReAct (Reason + Act) framework?
Technical
Q86What is Chain-of-Thought (CoT) prompting and why does it matter for agents?
Technical
Q87What is the difference between the system prompt and the user prompt?
Technical
Q88What is a context window and why is its size limited?
Technical
Q89What is Retrieval-Augmented Generation (RAG) and how does it improve agents?
Technical
Q90What is the difference between tool use and function calling?
Technical
Q91What is the role of prompt engineering in agentic systems?
Technical
Q92What are reasoning models, and have you used them?
Experience
Q93How do AI agents perceive and interact with their environment?
Technical
Q94What are cognitive agents and how are they modeled?
Technical
Q95What is the difference between collaborative agents and interface agents?
Technical
Q96What challenges have you faced when building agentic AI applications?
Experience
Q97What is the difference between a function-calling model and a true reasoning agent?
Technical
Q98How is agent routing implemented in multi-agent orchestration systems?
Technical
Q99How would you design a multi-agent system, and when is it preferable to a single agent?
Situational
Q100How do you program an agent to prioritize competing goals or tasks?
Situational
Q101What is Model Context Protocol (MCP) and how does it standardize tool integration?
Technical
Q102What is Agentic RAG, and how does it differ from standard RAG?
Technical
Q103What is tool hallucination and how do you prevent it?
Technical
Q104How do you handle agent failures and implement error recovery?
Situational
Q105What is LLM observability and why is it important?
Technical
Q106What are tracing and spans, and how do they help debug agents?
Technical
Q107What are evals, and how do you evaluate the performance and robustness of an agentic system?
Technical
Q108How do you monitor and evaluate agent performance in production?
Technical
Q109What is model fine-tuning, and how does it differ from model distillation?
Technical
Q110What is the human-in-the-loop (HITL) approach and when is it necessary?
Situational
Q111What security risks should be considered when deploying autonomous agents?
Technical
Q112How do you manage cost and latency in production agent deployments?
Technical
Q113How do you design guardrails for safe and predictable agent behavior?
Technical
Q114Walk me through how you would architect a customer-support agent that handles refunds, escalations, and follow-ups end-to-end.
Situational
Q115Your agent gets stuck in a reasoning loop in production. How do you diagnose and fix it?
Situational
Q116Design a CI/CD pipeline for an AI agent that includes a feedback loop for continuous improvement.
Situational
Q117How would you decide between fine-tuning, RAG, or agent-based orchestration for a given business problem?
Situational
Q118When would you use a Multi-Agent Swarm instead of a single LLM with multiple tools?
Technical
Q119How do you handle hallucinations in a financial RAG pipeline?
Technical
Q120What problem does Agentic AI solve that a regular LLM can't?
Technical
Q121What's the difference between AI Agent vs Agentic AI?
Technical
Q122What are the different types of AI agents?
Technical
Q123What are the primary components of AI agents?
Technical
Q124What is task decomposition in Agentic AI?
Technical
Q125What are reasoning models?
Technical
Q126What is ReAct in Agentic AI?
Technical
Q127What is the role of Prompt Engineering in Agentic AI systems?
Technical
Q128How do you monitor and evaluate AI agents in production?
Technical
Q129What are evals in Agentic AI systems?
Technical
Q130What is hallucination in Agentic AI, and how is it reduced?
Technical
Q131What are guardrails in Agentic AI?
Technical
Q132What are the levels of autonomy in Agentic AI?
Technical
Q133What are the key challenges or limitations of Agentic AI?
Technical
Q134What is an LLM wrapper?
Technical
Q135What is memory bloating in agentic/RAG systems and how is it resolved?
Technical
Q136What is partial failure in RAG or agent pipelines and how is it handled?
Technical
Q137What is RBAC in AI systems and why does it matter?
Technical
Q138What performance issues come up in RAG and how do you handle them?
Technical
Q139What is knowledge conflict in RAG and how is it handled?
Technical
Q140What are embedding rate limits and how do you handle them?
Technical
Q141What are token rate limits and how do you handle them?
Technical
Q142What is caching and KV caching in RAG?
Technical
Q143What are the different chunking strategies used in RAG?
Technical
Q144What is chunk overlap and what problems does it cause?
Technical
Q145What is a hybrid retriever?
Technical
Q146What is reranking in RAG?
Technical
Q147What is a freshness/relevance score in retrieval?
Technical
Q148What are the core concepts of attention in large language models?
Technical
Q149How do you evaluate the effectiveness of retrieval-augmented generation?
Technical
Q150Can you explain the single-agent design principles such as ReAct and tool use?
Technical
Q151What are the challenges of orchestrating multi-agent systems?
Technical
Q152How do you approach prompt engineering and its trade-offs?
Technical
Q153What is the importance of episodic memory in AI agents?
Technical
Q154How do you handle prompt injection vulnerabilities in AI systems?
Technical
Q155What is your experience with fine-tuning models using techniques like RLHF?
Experience
Q156Can you describe an end-to-end design for a multi-tenant retrieval-augmented generation system?
Technical
Q157How do you manage cost and latency in AI model deployment?
Technical
Q158Tell me about a time when you had a disagreement with a team member. How did you handle it?
Behavioral
Q159What motivates you to work in the field of AI and agentic systems?
Motivational
Q160What questions do you have for us about the team and the projects?
Reverse
Q161What could your last agent write to, and who approved that list?
Experience
Q162Your agent reads customer email. Walk me through how a stranger’s email could get it to send our data somewhere.
Situational
Q163The tool call timed out. Did the purchase order go through?
Situational
Q164How does your agent know it is finished?
Technical
Q165The server restarts at step fourteen of twenty. What happens to the task?
Situational
Q166Which MCP servers would you refuse to install, and why?
Technical
Q167Tell me about a task you took away from an agent and gave back to ordinary code.
Experience
Q168Does it matter whether they built on LangGraph, CrewAI, or the OpenAI Agents SDK?
Other
Q169A strong backend engineer has never shipped an agent. Worth interviewing?
Other
Q170Should candidates be allowed to use a coding agent during the interview?
Reverse
Q171How long should the loop be?
Other
Q172Is an 'agentic AI engineer' a different job from an 'AI agent engineer'?
Reverse
Q173We need one agent built. Contract engineer or full-time hire?
Reverse