AI Engineer Interview Experiences & Questions
13 real AI Engineer interviews from 11 companies: what each round covers, the exact questions, and who got the offer.
What to expect · AI Engineer
Based on 13 real interviews
AI Engineer interviews by company
The AI Engineer interview process
Most common round types: Coding (8), Behavioral (5), System Design (5), Technical (4), Artificial Intelligence (3), Machine Learning (3).
Real AI Engineer interview questions
- Write a Python function to process and clean a dataset.
- Tell me about your greatest success.
- Tell me about yourself and your background in AI/ML.
- What challenges have you faced while working on a project?
- Tell me about a project you worked on.
- Machine learning using transformers to embed receipts and transactions
- What safeguards would you add before allowing an agent to perform actions?
- Questions on kubernetes and slurm
- Walk me through your most recent AI engineering work.
- Tell me about your past projects.
- Design an enterprise-level RAG system.
- Escape the Maze - implementing HTTP requests to a URL until an exit URL is found (WebCrawler with robust error handling). Second level requires special auth-headers that are collected as you crawl
- How would you implement retries without causing duplicate operations?
- Hiring manager and team specific questions
- Why are you interested in this AI Engineer position?
- Tell me about yourself.
- It was a loop
- Explain the difference between a list, tuple, set, and dictionary in Python.
- What is a perceptron?
- Explain how RAG works.
- Why do you want to work at Sierra?
- System component coding round - code a snapshot mechanism in etcd
- Write an asynchronous Python function that calls multiple APIs.
- What is a CNN?
- What's the effect of adjusting an LLM's context window size?
- Describe Retrieval-Augmented Generation.
- System design - design a server client system where user provides the data and the server has programmatic labeling functions that makes dataset out of it for model training
- How do you debug an API when the logs are incomplete or contradictory?
- langchain and langraph related questions.
- What is a transformer?
- Tell me about a project you led end-to-end.
- Kubernetes debugging
- Explain RAG from ingestion through answer generation.
- verbal skill through introduction and all
- What is a neural network?
- Do you have any experience using LLMs?
- Walk me through an AI/ML system you built from end to end.
- asked to solve dsa in front of the interviewer.
- Describe your experience with LLMs.
- How would you prevent an agent from entering an infinite loop?
Showing 40 of 55 questions. Open any experience for every question and how the candidate answered.
Latest AI Engineer interview experiences
“Overall the process was straight forward and few interviews. One with the recruiter manager and one technical.”
“The process goes very quickly. At the beginning I introduce myself and the project expercinece. Then the interviewer gives a question of system design about LLM models, you must tell him all the…”
“Friendly interviewers, coding round didn't have enough time for 3rd round but finished explanation. make sure you focus on explaining clearly and moving fast through first and second round to…”
“Our interview process is straightforward: an initial conversation, a technical interview, and a final discussion focused on experience, communication, and problem-solving. What went well was keeping…”
“The overall interview process was well organized and gave me a good opportunity to demonstrate both my technical skills and my experience with AI engineering. I felt that I did especially well when…”
“My biggest issue was the machine learning round that I wasn't aware. I was told we would have a CodeSignal interview but it turned out to be a Google Collab interview. Had I known I was going to do…”
“The first round was recruiter screening via phone call, it went well. Then a zoom call with the principal software engineer, that went well too. Then came the 4 round loop. I messed up during the…”
“Recruiter contacted, set up 1st round phone screen with a senior engineer. 45 mins with 20 mins on past projects etc diving in detial before talking about AI/LLM concepts. Was easy 2nd round was 2…”
“the process was good and short they proactively update me about the next round and i think it is good .”
“The process was quick in terms of scheduling - they were willing to move as fast or slow as I wanted”
“The team prepares you well for each interview. There is a slicksheet that they give you that describes each section. Very well organized interview process.”
“The process was good. Scheduling was easy and automated. Recruiter was good in providing clear expectations of the different rounds. The technical interview - the technical lead wasn't impressive,…”
“The interview process took almost 2 months, and all the interviews were online. I didn't have to prepare much as the questions were very relevant to the job role and not complex”
Frequently asked questions
How many rounds are in the AI Engineer interview?
Candidates report a typical 3 rounds, usually including a recruiter screen, online assessment, phone screen, take-home assignment.
How hard is the AI Engineer interview?
Candidates rate it 3.4/5 on average (medium), across 13 interviews.
How long does the AI Engineer hiring process take?
About 2 weeks from first contact to decision, based on reported timelines.
What percentage of AI Engineer candidates get an offer?
30% of candidates with a final result got an offer (3 of 10).
What does the AI Engineer interview focus on?
The most common round types are Coding, Behavioral, System Design, Technical.