01
A structured interview loop
Clarify, scope, reason, build, test, and defend trade-offs. The interviewer follows the phase you are in instead of firing unrelated questions.
Top tech and frontier AI interview practice
AI mock interviews for software engineers.
Practice system design, coding and DSA, object-oriented design, and AI-assisted coding for leading technology companies and frontier AI labs. Speak naturally, solve the problem in a real coding or whiteboard workspace, and defend your decisions in real time.
Free trial available · No subscription required
Adapts to what you say
Records voice and workspace
Explains every score
System Design. I would keep redirects on a replicated read path, then fail over at the edge. Good. Which consistency trade-off are you making for newly created links?
How interview quality is designed
Built around a real big-tech interview loop—not a chat demo
EngMock is independently designed around technical interview expectations used across leading software companies and frontier AI labs. Interview phases, follow-up behavior, and scoring standards are reviewed and regression-tested for the signal each interview type is meant to measure.
02
A rubric for each interview type
Every scenario is paired with a reviewed, track-specific rubric so System Design, Coding/DSA, and OOD are evaluated against the right signals.
03
Evidence behind every score
Feedback connects to what you said, drew, coded, tested, and changed during the recorded interview—not a generic end-of-chat summary.
What changesTypical AI practiceEngMock
Interview flow
Open-ended chatbot conversation
Time-boxed, phase-based interview loop
Follow-ups
Prewritten or loosely related prompts
Triggered by your latest explanation and workspace decisions
Working environment
Chat box or generic editor
Voice plus whiteboard, DSA editor, or multi-file workspace
Candidate ownership
AI often explains the solution too early
Controlled hints that preserve your reasoning ownership
Feedback
High-level summary after the session
Rubric scores, recording replay, timeline evidence, and next steps
Interview flow
Typical AI practice
Open-ended chatbot conversation
EngMock
Time-boxed, phase-based interview loop
Follow-ups
Typical AI practice
Prewritten or loosely related prompts
EngMock
Triggered by your latest explanation and workspace decisions
Working environment
Typical AI practice
Chat box or generic editor
EngMock
Voice plus whiteboard, DSA editor, or multi-file workspace
Candidate ownership
Typical AI practice
AI often explains the solution too early
EngMock
Controlled hints that preserve your reasoning ownership
Feedback
Typical AI practice
High-level summary after the session
EngMock
Rubric scores, recording replay, timeline evidence, and next steps
Company names describe independent preparation context only. EngMock is not affiliated with or endorsed by any employer, and company-style practice scenarios are never presented as official or leaked questions.
One platform, 3 core tracks
Prepare for the technical interview loop
Build depth across architecture, algorithms, and object-oriented design.
53 live System Design mocks
System Design
Practice full-length voice and whiteboard interviews, then review evidence-based feedback and playback.
Explore track →25 live DSA mocks available
Coding / DSA
Practice original algorithm problems with voice, a native code editor, interviewer-guided validation, realistic hints, and follow-up questions.
Explore track →26 live OOD mocks available
Object-Oriented Design
Practice sourced OOD prompts in a multi-file workspace with live requirement changes and design probes.
Explore track →Two ways to prepare
Choose live practice or interview research
Live Mock Interviews and the Candidate-Reported Question Bank serve different preparation needs. Use either product independently or combine them in one interview plan.
Interactive practice
Live AI Mock Interviews
Choose from 104 timed interview scenarios across System Design, Coding/DSA, and OOD. Speak to an adaptive interviewer, work in the appropriate technical workspace, and receive an evidence-based report.
Browse all Live Mock Interviews →Interview research
Candidate-Reported Question Bank
Research paraphrased interview patterns reported by candidates, organized by company and interview type. Full entries intentionally exclude solutions so you can prepare without memorizing leaked answers.
Browse the Candidate-Reported Question Bank →Frontier AI interview preparation
Prepare for OpenAI, Anthropic, DeepMind, and xAI
Start with sourced hiring-process information, then practice the coding, AI infrastructure, system design, debugging, and communication signals relevant to each organization.
Verified 2026-08-02
OpenAI interview guide
Prepare for OpenAI software engineer and research engineer interviews with an officially sourced process guide plus AI infrastructure, coding, and system design practice.
Read the sourced guide →Verified 2026-08-02
Anthropic interview guide
Prepare for Anthropic software engineer, MTS, and research engineer interviews with an officially sourced process guide and independent technical practice.
Read the sourced guide →Verified 2026-08-02
Google DeepMind interview guide
Prepare for Google DeepMind software engineer and research engineer interviews with an official process overview and AI systems practice scenarios.
Read the sourced guide →Verified 2026-08-02
xAI interview guide
Prepare for xAI software engineer and member of technical staff interviews with a sourced hiring overview and independent AI infrastructure practice.
Read the sourced guide →What Makes EngMock Different
Unlike a generic AI tutor, every live technical interview combines voice, time pressure, a format-specific workspace, adaptive follow-ups, playback, and track-specific scoring.
🎙️
Fluid Voice Interaction
Push-to-Talk by default, with an optional pause-aware automatic mode for natural hands-free practice.
🎨
Format-Specific Workspaces
Use an architecture canvas, a nine-language DSA editor, or a multi-file IDE-style workspace based on the interview.
🧭
Adaptive Interviewer
Practice with an interviewer that follows your explanation and active workspace, then asks track-specific follow-ups without taking over your reasoning.
⚡
Evidence-Based Feedback
Review phase coverage, cited evidence, strengths, gaps, demonstrated level, and a concrete improvement plan after each interview.
⏱️
Timeline Playback
Review your interview with clickable timestamps to see exactly where you can improve.
How It Works
The same realistic workflow across all 3 live tracks
01
🎯
Choose a Track and Scenario
Select System Design, Coding/DSA, and OOD at the level and duration you want to practice
02
💬
Lead the Interview
Clarify requirements and explain decisions to a live voice interviewer that follows your work
03
✏️
Work in the Right Environment
Draw architecture, implement an algorithm, or build across files while the interviewer tracks the active work
04
📈
Get Instant Feedback
Review track-specific scores, evidence, transcript, workspace history, and actionable next steps
Simple, Transparent Pricing
Buy one-time credit packs for live AI mock interviews. Every paid pack includes timed Question Bank access.
Choose your preparation format
One purchase covers both ways to prepare
Practise under realistic pressure in live interviews, and research candidate-reported interview patterns between sessions.
Live practice
Interview credit packs
Buy 5, 15, or 40 complete AI mock interviews. Paid packs also include 30–90 days of Question Bank access.
Compare interview credit packs →Included with every pack
Candidate-Reported Question Bank
Research full candidate-reported question details, filtered by company and interview type. No separate subscription to manage.
Browse the Question Bank →Interview credit packs
One credit covers one complete 45 or 60-minute live mock interview.
Most popular
Value
$49
15
live mock interviews
Includes 60 days of Question Bank access.
View pack detailsTechnical interview practice FAQ
Common questions about EngMock
- What technical interviews can I practice on EngMock?
- EngMock provides live AI mock interviews for System Design, Coding/DSA, and OOD. Each track uses voice plus a whiteboard, single-file editor, or multi-file workspace appropriate to that interview format.
- What is the difference between Live Mock Interviews and the Question Bank?
- Live Mock Interviews are timed, interactive sessions with an AI interviewer and an evidence-based report. The Candidate-Reported Question Bank is a separate collection of paraphrased interview patterns for research and preparation, without published solutions.
- Can I try EngMock before buying interview credits?
- Yes. New users can start with the available free live mock interview experience. Paid interview credit packs are one-time purchases rather than automatically renewing subscriptions, and each pack includes timed Question Bank access.
- Can I practice System Design and LeetCode-style coding interviews?
- Yes. System Design mocks use live voice and an interactive architecture whiteboard. Coding and DSA mocks use original LeetCode-style algorithm problems in a nine-language editor with adaptive follow-ups and evidence-based feedback. EngMock is independent and is not affiliated with LeetCode.
Build a stronger technical interview plan
Explore all 3 tracks and practice the format that matches your next technical interview.
Start a Free Mock Interview