Build AI-native agentic systems on Google's Core Acceleration Platform team in Singapore

Prep for a Google Software Engineer role on the Acceleration Platform team (part of Google's Core org, based in Singapore), building agentic AI systems, RAG pipelines, and eval frameworks meant to eliminate developer toil at enterprise scale. Despite the ambitious agentic-AI scope, the JD's minimum bar is 2 years of Python/C++ development plus 1 year in a core ML domain — so this mock is calibrated as a mid-level (not staff) role with strong LLM/agent-systems flavor.

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Likely format

Google's standard SWE process is publicly known: phone screen(s) with coding, followed by an onsite loop of coding, a Googleyness/leadership behavioral round, and a role-relevant ML/systems depth round.

What this interview tests

Python or C++ software engineering fundamentals
Agentic AI system design (planning, reasoning, multi-step execution)
Retrieval-Augmented Generation (RAG) and prompt engineering
Building evaluation pipelines for AI/agent behavior
Debugging non-deterministic model behavior
AI safety / secure-by-default agent design

Common question themes

Design an AI agent that plans and executes a multi-step engineering task

How would you build an eval pipeline to measure agent performance

Debug an AI agent that behaves inconsistently across runs

Walk through a RAG system you designed — retrieval quality and grounding

How do you keep an autonomous agent secure-by-default

General coding fundamentals in Python or C++

How candidates describe it

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

Google · L3 Software EngineerOffer

Google L3 software engineer interview: phone screen, four coding rounds, and the Googleyness round

A candidate with two years of experience went from recruiter outreach to offer over about four months. The onsite was four 45-minute coding rounds — three of them featuring binary trees — and one round turned into a 25-minute chain of follow-ups about approximating an optimal solution at scale.

Interviewed June 2020 · Bangalore, IN

Google · L4 Software EngineerNo offer

Google L4 Software Engineer Interview: Eight Rounds, No Offer

An L4 Software Engineer candidate went through two phone screens, three onsite rounds, a culture conversation, and a team-matching call with a Google hiring manager, then watched the process stall for about a month and a half over a tightened experience requirement before an added extended round ended without an offer.

Interviewed February 2024 · Not specified

Google · L5 Software EngineerNo offer

Google L5 software engineer interview: phone screening, three onsite rounds, system design, and a late rejection

A candidate interviewing for an L5 role went through a phone screening, three onsite coding rounds, a mobile system design round, and a Googleyness and Leadership round. Two of the four technical rounds went poorly by the candidate's own assessment, and after roughly two months of silence the recruiter reported that the role had been closed.

Interviewed January 2023 · Not specified

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