Home/Catalog/Generative AI System Design

Generative AI System Design

Master the design of systems powering Generative AI applications: architect pipelines for training, inference, and deployment, handle large-scale data and models, and support real-time interactions to develop the skills needed to ace AI-focused system design interviews.

Real life interview scenarios for

Generative AI System Design

Master the design of systems powering Generative AI applications: architect pipelines for training, inference, and deployment, handle large-scale data and models, and support real-time interactions to develop the skills needed to ace AI-focused system design interviews.

Real life interview scenarios for

Explore Interviews

Generative AI System Design

ChatGPT

Challenge your knowledge with probing questions on designing GenAI systems like ChatGPT, focusing on model serving, prompt management, and scalable inference.

45 min

Generative AI System Design

ChatGPT

45 min

Generative AI System Design

DALL·E

Tackle realistic problems in designing robust GenAI services for image generation, from DALL·E’s model training to secure and scalable deployment.

45 min

Generative AI System Design

DALL·E

45 min

Generative AI System Design

ElevenLabs

Test your skills designing GenAI-powered text-to-speech systems like ElevenLabs, covering real-time audio synthesis, low-latency model serving, and voice cloning at scale.

45 min

Generative AI System Design

ElevenLabs

45 min

Generative AI System Design

Sora

Hone your expertise by tackling questions on designing GenAI video generation systems like Sora, focusing on efficient video synthesis, massive data handling, and real-time content streaming.

45 min

Generative AI System Design

Sora

45 min

Built to Simulate the MAANG Experience

Built to Simulate the MAANG Experience

Prep for Every Loop

-

Practice explaining complex technical concepts verbally to build confidence and refine your communication skills.

Detailed Analysis

+

Unlock insights that highlight your weaknesses and gives you sample responses.

Instant, Actionable Feedback

+

Receive immediate, targeted guidance on solution correctness, complexity, and approach.

Interactive Environment

+

Hone your coding logic in an editor and bring your system designs to life with an integrated diagramming workspace.

Tailored to Your Preferences

+

Get relevant practice scenarios for your role and experience, whether you're a junior or an engineering manager.

Frequently Asked Questions

What is an AI Mock Interview and how does it help me?

An AI Mock Interview is a realistic simulation of a technical interview, powered by artificial intelligence. It's designed to help you:
  • Build Confidence: Practice in a safe, repeatable environment that mimics the pressure of a real interview.
  • Sharpen Communication: Articulate your thought process and solutions clearly.
  • Get Instant Feedback: Receive immediate, data-driven feedback on your problem-solving, coding, and system design skills so you know exactly where to improve.

Who is mockinterviews.dev for?

Our platform is designed for a wide range of technology professionals. Whether you're a junior software engineer, a senior or principal engineer, an engineering manager, a director, or a product manager, our tailored mock interviews can help you sharpen the skills needed to succeed in your next interview.

Can AI Mock Interviews replace practicing with a real person?

AI mock interviews are a powerful supplement, not a replacement. Think of them as your on-demand interview gym. While practicing with peers and mentors is valuable, our AI interviews allow you to practice anytime, anywhere, as often as you need, removing the hassle of scheduling and the fear of judgment. Consistent practice with our AI is the most efficient way to build muscle memory and confidence for the real thing.

Is my interview data kept private?

Absolutely. Your privacy is a top priority. Your code, diagrams, and recordings stay private — they are never used to train public models.

What programming languages do you support?

You can practice coding interviews in most major languages, including Python, Java, C++, JavaScript, Go, and C#.

How should I structure my prep with mock interviews?

We recommend a two-stage approach:
  1. Learn the Fundamentals: First, get comfortable with core data structures, algorithms, and system design concepts using resources like Educative's Interview Prep.
  2. Apply Your Knowledge: Use mock interviews to practice applying that knowledge in a timed, high-pressure setting. This bridges the gap between knowing a concept and being able to deploy it effectively under pressure.

When should I start doing mock interviews?

Start after you have a foundational grasp of the topics you'll be tested on—typically 2-3 weeks into your study plan. The goal isn't to score perfectly at first, but to get comfortable with the format and learn how to perform under pressure.

How often should I practice as my real interview gets closer?

In the weeks leading up to your interview, aim for one to two mock interviews per week. This frequency gives you enough time to absorb the AI's feedback, work on your weak spots, and see measurable improvement. Consistency is more valuable than cramming.

How does the AI evaluate my performance?

Our AI analyzes multiple aspects of your performance, including the clarity of your communication, the optimality of your solution, your problem-solving approach, and your coding style. It provides a detailed report highlighting your strengths and areas for improvement.

What types of interviews can I practice?

Mockinterviews.dev offers a range of interview simulations, including algorithmic coding challenges, system design deep dives, and behavioral questions, covering the full spectrum of a typical software engineering hiring process.