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AI / ML System Design Case Studies

InterviewSkool tracks 23 AI / ML case studies with architecture diagrams, scale estimates, and deep dives.

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Companies

Anthropic5Google5Microsoft3OpenAI3TikTok3Adobe2Amazon2JPMorgan2Meta2Apple1Atlassian1LinkedIn1NVIDIA1Roblox1Salesforce1Snowflake1

Topics

Distributed Systems 90Real-time 51Storage 43Data Pipelines 42API Design 41Databases 38Caching 37Security 32AI / ML 23Algorithms 20Scheduling 20Search 19Event Driven 14Fintech 14Payments 11Geospatial 11Analytics 11Observability 11E-commerce 11Messaging 10CDN 9Concurrency 8Ads 8Frontend 8Booking System 6Networking 5IoT 4Media 3Media Streaming 3Collaboration 3Rate Limiting 2
AI / ML✕Clear all
Ad Creative Relationship Processing with an External Model API
5 min readAdsData PipelinesAI / ML
Intermediate▶ Mock
Tracing and Debugging AI Agent Tool Calls
5 min readAI / MLObservabilityDistributed Systems
Intermediate▶ Mock
Analytics Dashboard for an AI Chat Product
5 min readAnalyticsAI / MLData Pipelines
Intermediate▶ Mock
ML Pipeline to Predict Document Aspect Ratio (Adobe)
5 min readAI / MLData Pipelines
Intermediate▶ Mock
Autonomous Vehicle Camera Perception Pipeline
5 min readAI / MLReal-timeConcurrency
Advanced▶ Mock
ChatGPT-Style Conversational AI Service
7 min readAI / MLReal-timeDistributed Systems
Advanced+2▶ Mock
Color Suggestion System (Adobe)
4 min readAI / MLAPI DesignCaching
Intermediate▶ Mock
Content Moderation System (Harmful Post Detection)
6 min readAI / MLSecurityData Pipelines
Advanced▶ Mock
Enterprise AI Agent for a Global Company
5 min readAI / MLSecurityDistributed Systems
Advanced▶ Mock
Entitlement-Aware Agentic Workflow for Portfolio Requests
4 min readAI / MLFintechSecurity
Advanced▶ Mock
Automated Jira-Ticket-to-Pull-Request System
4 min readAI / MLSchedulingDistributed Systems
Advanced▶ Mock
Guardrails and Fallbacks for Reliable LLM Systems
4 min readAI / MLSecurityDistributed Systems
Intermediate▶ Mock
LLM Inference API with Dynamic Batching
7 min readAI / MLConcurrencyScheduling
Advanced▶ Mock
Distributing Large Model Weights to Thousands of GPU Hosts
6 min readAI / MLDistributed SystemsStorage
Advanced▶ Mock
Multimodal RAG Assistant over an Internal Knowledge Base
4 min readAI / MLSearchData Pipelines
Advanced▶ Mock
Large-Scale Near-Duplicate Video Detection
4 min readAI / MLMediaSearch
Advanced▶ Mock
AI Prompt Playground (OpenAI / Anthropic Console)
6 min readAI / MLFrontendStorage
Intermediate▶ Mock
Prompt Sharing Platform
5 min readAI / MLSecurityDatabases
Intermediate▶ Mock
Recommendation System (Candidate Generation + Ranking)
6 min readAI / MLData PipelinesDistributed Systems
Advanced▶ Mock
Secure Multi-Tenant API for an Enterprise AI Copilot
4 min readAI / MLSecurityAPI Design
Advanced▶ Mock
Detecting and Reducing Stale Job Listings (LinkedIn)
4 min readData PipelinesAI / MLSearch
Intermediate▶ Mock
Text-to-Video Generation Service (Sora)
6 min readAI / MLSchedulingDistributed Systems
Advanced▶ Mock
Human Avoidance for Autonomous Warehouse Robots
4 min readReal-timeAI / MLIoT
Advanced▶ Mock

Frequently Asked Questions

What is AI / ML in system design?

AI / ML is a core system design topic covered in 23 case studies on InterviewSkool. It appears frequently in FAANG interviews, especially at Google, Amazon, and Meta.

How should I prepare AI / ML for system design interviews?

Study the case studies above, focusing on architecture trade-offs, scale estimates, and API designs. Practice explaining your decisions aloud — this is exactly what interviewers evaluate.

Practice with a Mock Interview

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