Exit
GO
Google DeepMindWeb + AI Product & Retrieval Systems
L6 Staff Multimodal RAG & Distributed Inference Lead • $430K – $850K+ TC (L6–L7)
Web + Multimodal AI & RAGWith-AI Coding Allowed
Codebase 1: Full-Stack Web + AI SaaS Audit
Audit a live AI Storefront (HTML/CSS/JS frontend + Node HTTP backend). Catch hardcoded secrets & /api/debug-env leaks, reflected XSS, SSRF preview risk, robots.txt/noindex SEO blocks, CLS shifts, N+1 loops, and uncached AI endpoints.
System Design Perspective
Web + AI Product & Retrieval Systems
Before You Start (Google DeepMind)
Download Codebase 1 (`node server.js` on port 3100) to practice Bloomberg/Google-style full-stack security, Technical SEO/GEO, CLS, and AI caching audits.
Download & Run LocallyDownload .zip
Runtime: Node.js 18+ (Zero npm install required)
unzip buggy-ai-storefront.zip cd buggy-ai-storefront node server.js # Then open http://localhost:3100 in Chrome/Edge and audit UI + server!
Bloomberg / Google / Meta AI-Assisted Multi-File Track
const CONFIG = {
openaiApiKey: process.env.OPENAI_API_KEY || 'sk-live-HARDCODED-SECRET-987654',
dbUrl: process.env.DATABASE_URL || 'postgres://admin:SuperSecretPass123@10.0.4.12:5432/store_prod',
};
if (pathname === '/api/debug-env') {
res.end(JSON.stringify({ status: 'debug', env: CONFIG })); // LEAK!
}
if (pathname === '/api/preview') {
const targetUrl = parsed.query.url || ''; // Unvalidated SSRF risk!
}
if (pathname === '/api/ai-summary') {
uncachedAiRequestLog.push({ ts: Date.now(), prompt }); // Memory leak + zero rate limit/cache!
}