Interview Prep

Company-Specific AI Interview Preparation

Interview packs for the AI employers we have written up so far. Real questions, system design templates, mock interviews, and salary data.

Featured Interview Packs

Deep-dive preparation for the most sought-after AI employers

G

Google

Big Tech
Very High
3 roles 5 rounds
System Design (ML)
Distributed Systems
LLM Serving
TensorFlow/JAX
+1 more

“Google values 'Googleyness' — intellectual humility, comfort with ambiguity, and user-first thinking. Prepare examples of failed experiments and what you learned.”

Mentor: Sarah Chen, Staff ML Engineer (Ex-Google Brain)
Access Google Pack →
M

Microsoft

Big Tech
High
3 roles 4 rounds
Azure ML
ONNX Runtime
Phi/Small Models
RAG at Scale
+1 more

“Microsoft focuses heavily on responsible AI and enterprise readiness. Know your fairness metrics, data lineage, and compliance basics.”

Mentor: Rajesh Kumar, Principal Applied Scientist (Azure AI)
Access Microsoft Pack →
A

Amazon

Big Tech
High
3 roles 5 rounds
SageMaker
Bedrock
Distributed Training
Real-time Inference
+1 more

“Memorize the 16 Leadership Principles. Every answer should map to at least one. 'Customer Obsession' and 'Bias for Action' are non-negotiable.”

Mentor: Amit Patel, Senior ML Engineer (AWS AI)
Access Amazon Pack →
F

Flipkart

E-commerce
High
3 roles 4 rounds
Recommendation Systems
Real-time Ranking
A/B Testing
Hadoop/Spark
+1 more

“Flipkart operates at massive scale with Indian market nuances. Understand vernacular languages, tier-2/3 city behavior, and festival season traffic patterns.”

Mentor: Neha Singh, Staff Data Scientist (Flipkart Ads)
Access Flipkart Pack →
R

Razorpay

FinTech
High
3 roles 4 rounds
Fraud Detection
Risk Scoring
Real-time ML
Graph Neural Networks
+1 more

“Razorpay values engineering rigor + business impact. Quantify your past work in revenue saved, fraud caught, or latency reduced.”

Mentor: Vikram Desai, ML Lead (Razorpay Risk)
Access Razorpay Pack →
C

CRED

FinTech
High
3 roles 4 rounds
LLM Applications
Agentic Workflows
Personalization
Credit Scoring
+1 more

“CRED hires for product thinking + engineering excellence. Show side projects with great UX. They love 'craft' in engineering.”

Mentor: Ananya Gupta, AI Engineer (CRED)
Access CRED Pack →

Universal AI Interview Patterns

These six patterns appear in 90%+ of AI interviews across all companies

System Design (ML/AI)

Typical duration: 45-60 min

Feature Store Design
Model Serving Architecture
Training Pipeline
Monitoring & Alerting
A/B Testing Framework
Data Lineage

ML Fundamentals Deep Dive

Typical duration: 30-45 min

Bias-Variance Tradeoff
Regularization Techniques
Optimization Algorithms
Evaluation Metrics
Imbalanced Data
Causal Inference Basics

LLM/RAG Specific

Typical duration: 45-60 min

Prompt Engineering Patterns
RAG Architecture
Evaluation Frameworks
Fine-tuning vs RAG
Guardrails & Safety
Cost/Latency Optimization

Agentic AI Systems

Typical duration: 45-60 min

Agent Architectures (ReAct, Plan-Execute)
Multi-agent Orchestration
Memory & State Management
Tool Use & Function Calling
Evaluation of Agents
Production Deployment

Coding (Python/PyTorch)

Typical duration: 45-60 min

Custom Training Loops
DataLoader Optimization
Distributed Training
Model Compression
ONNX Export
Kernel Writing Basics

Behavioral + Culture

Typical duration: 30 min

Leadership Principles Mapping
Conflict Resolution
Project Retrospectives
Mentoring Experience
Cross-functional Collaboration
Ethical AI Decisions

What's Inside Every Pack

Comprehensive preparation — not just question lists

Real Interview Questions

Collected from 200+ recent candidates (2024-2025)

System Design Templates

Step-by-step frameworks for ML/AI system design

Code Walkthroughs

Annotated solutions with complexity analysis

Mock Interview Booking

1:1 sessions with engineers from target companies

Company Culture Guide

Values, team structures, promotion paths, WLB reality

Salary Benchmarks

Verified offer data by role, level, location

Resume Review

ATS optimization + project framing for AI roles

Lifetime Updates

New questions added monthly as interviews evolve

How It Works

1

Pick Your Target

Choose companies matching your role preference and location

2

Study the Pack

Questions, system designs, coding patterns, culture guides

3

Practice with Mentors

Book mock interviews with engineers from those companies

4

Get Feedback & Iterate

Detailed feedback loops until you're consistent

Get Access to the Full Packs

Included with the Agentic AI Engineer program. Or purchase individual packs.

Join Program (All Packs Included)Buy Individual Pack