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Google

Software Engineer, Acceleration Platform Team

Google

Published 16 May 2026
Singapore
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Python
C++

Key skills

AI
NLP
Prompt Engineering
Information Retrieval
Machine Learning
RAG
Distributed Systems
Data Structures
System Design
AI Engineer
Full Stack
LLMs
Security
Architecture
Search
Storage
UI
Infrastructure
Optimization

Tools, Libraries and Frameworks

Ruby On Rails

Description

The role involves designing, testing, deploying, and maintaining software solutions within the Acceleration Platform team. The engineer will build scalable, AI-native agentic systems designed to automate complex workflows and reduce developer toil. Responsibilities include architecting agentic ecosystems and leading the implementation of fault-tolerant systems that execute workflows across distributed codebases. The position requires pioneering AI-first engineering practices and blending distributed systems architecture with LLM orchestration. Additionally, the engineer will establish technical strategies for AI safety and build telemetry tooling to optimize self-supporting system behaviors.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires at least one year of experience in software programming using Python or C++, as well as one year of experience with data structures, algorithms, and core Machine Learning concepts. Proficiency in English is required for all roles.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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