Design LLM-Integrated Systems at Scale: Know Uber Genie Architecture

Design LLM-integrated systems at scale and learn how to break them down in FAANG+ interviews.

What You’ll Learn in this Masterclass

Genie at Uber:

Break down the architecture behind Uber’s AI assistant for internal knowledge retrieval.

AI-Integrated System Design:

See how embeddings, retrieval, and Slack queries shape real-time backend systems.

Slack + LLM Pipelines:

Trace how messages are parsed, routed, and evaluated in live production workflows.

Led by Google’s Ahmed Elbagoury

Senior ML engineer shares system design insights from Google

Meet Your Instructor: Ahmed Elbagoury

-Senior ML Engineer @ Google

-3+ years building multimodal virtual assistants and LLM-based chatbots with focus on safety and security.

-ML Researcher - Ph.D. candidate at University of Waterloo.

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Decode FAANG+ Interviews for 2025 - Register Now!

Book a free session with Ahmed Elbagoury, to unlock interview strategies, FAANG+ tips and job market insights

Masterclass Highlights

FAANG+ Insights
System Design with AI
Live Q&A Session

Master AI System Design — Register Now!

Decode Real Architectures: Learn how Uber’s Genie AI assistant was designed using modern HLD and embedding systems.

Tackle AI Design Interviews: Discover how to break down LLM-powered workflows and answer system design questions.

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How to Nail your next Technical Interview

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Discover how top engineers design AI-integrated systems that scale — and crack FAANG+ system design interviews.

12 Feb, 5:30 PM PT to 7:00 PM PT

Learn how AI agents are embedded into large-scale internal tools like Uber’s Genie.

Understand Slack-style query pipelines and LLM evaluation techniques for reliability.

Get FAANG-level strategies to tackle system design rounds with AI integration.

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Discover how top engineers design AI-integrated systems that scale — and crack FAANG+ system design interviews.

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