System Design with Generative AI

SYSTEM DESIGN IN THE AGE OF GEN AI

The Playbook for AI-Native Engineers

THE NEW REALITY

Big Tech's interview bar has radically shifted

Gen AI architecture is now the critical differentiator

Traditional system design alone won’t get you hired

WHAT SEPARATES TOP ENGINEERS

1. Production Architecture

Real patterns from Claude, Netflix, Azure, OpenAI

End-to-end AI pipelines: ingestion → embeddings → vector DB → inference → orchestration

GPU orchestration & autoscaling at massive scale

2. LLM Failure Mastery

Diagnose hallucination cascades

Fix grounding failures, context collapse, and vector hot partitions

Build self-healing recovery frameworks that actually work in prod

3. Business Impact

Cost governance for GPU-intensive workloads

ROI-driven decisions on model hosting, caching, and batching

Architectural influence in the AI-first enterprise

THE MODERN INTERVIEW

What today’s top companies test:

LLM integration patterns under pressure

Multimodal workload design & resource planning

Cost–performance trade-offs in real-time

Debugging RAG failures, latency spikes, and inference anomalies

Architecture that can scale with uncertainty

FOR THOSE BUILDING THE FUTURE

This playbook is for:

Big Tech candidates

Startup founders & CTOs

Enterprise architects

Engineers transforming into AI-native builders

THE WINDOW IS CLOSING

Master this now.