Take AI developer-tooling prototypes from Google Labs to production

This role sits on the AIDA (AI Developer Assistant) team inside Google Labs, building full-stack AI products that change how software is designed and maintained — from rapid prototyping through scaling into robust, launched systems, working cross-functionally with Google DeepMind. The JD calls for real full-stack range (backend in Java/Python/Golang/C++, frontend in JS/TS/HTML/CSS) plus the judgment to kill or scale a prototype.

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Likely format

Google's standard loop: phone screen(s) with coding, then onsite rounds covering coding, system design/full-stack design, and Googleyness/leadership behavioral, capped by hiring committee review.

What this interview tests

Full-stack ownership: backend (Java/Python/Golang/C++) plus frontend (JS/TS/HTML/CSS)
Rapid prototyping and dispassionate evaluation of prototype viability
Scaling prototypes into robust, launched production systems
Applying AI/ML and agent-development principles to developer tooling
Cross-functional collaboration with research teams (e.g., DeepMind)

Common question themes

Describe taking a prototype from concept to a launched full-stack product

How do you decide a prototype isn't worth scaling further

Coding: data structures and algorithms

System design across a full stack you owned end to end

Experience applying AI/ML principles or building AI agent tooling

Googleyness / cross-functional collaboration behavioral questions

How candidates describe it

Real Senior Software Engineer interview stories — retold from candidates' public write-ups, with sources.

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