Amazon
Mid
SDE building LLM-powered conversational ad experiences on Amazon's Sponsored Products & Brands platform
This SDE role sits on Amazon Ads' Sponsored Products and Brands team, building large-scale distributed ad-serving services (billions of impressions daily) infused with LLMs and generative AI for personalized, conversational shopper experiences. With 3+ years professional experience required, this reads as a standard Mid-level Amazon SDE bar, so expect Amazon's classic coding + OOD + Leadership Principles loop, plus some LLM/GenAI fundamentals given the stated preferred qualifications.
Step into this interview
Free · a live voice mock calibrated to this exact role
Likely format
Amazon's standard SDE loop: online assessment/phone screen with coding, then a virtual onsite ('the loop') of 4-5 interviews mixing coding, system design/architecture, and Leadership Principles behavioral rounds with a Bar Raiser.
What this interview tests
- Object-oriented design and coding in Java/C++/C#-style languages
- Distributed, multi-tiered, multi-threaded system design
- Low-latency, high-availability ad-serving architecture at scale
- LLM/GenAI fundamentals (transformer architecture, training/inference lifecycle)
- Operational excellence: monitoring, code quality, continuous improvement
- Amazon Leadership Principles behavioral questions
Common question themes
Design a low-latency ad-serving service that must handle millions of requests/day
Coding problem testing OOD and distributed systems reasoning
How would you integrate an LLM into a latency-sensitive shopper-facing ad experience
Tell me about a time you partnered with a senior/principal engineer on an architecture decision (Leadership Principle: Earn Trust / Dive Deep)
Describe how you drove operational excellence or resolved a production issue on a service you owned
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