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Google

Software Engineer III, GenAI, Google Cloud

Google

Published 16 May 2026
Bangalore, India
Full Time
27500 - 275000 people

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Role Highlights

Languages used

C++
Python

Key skills

AI
NLP
Information Retrieval
Computer Science
UX
Data Structures
System Design
Full Stack
LLMs
Generative AI
PhD
Multimodal
Audio
Search
Storage
Security
UI
DataSets
Operations
Cloud
Research

Tools, Libraries and Frameworks

Vertex AI
GCP

Description

The role involves building the next generation of intelligent solutions by bridging the gap between global knowledge and specialized private data. The engineer will integrate Google Search into Large Language Models to provide access to real-time information. Responsibilities include designing and maintaining critical systems that scale to meet customer needs. The position requires building algorithms to improve grounding for Large Language Models and developing search ranking improvements. Additionally, the engineer will train specialized models to enhance the quality of the grounding stack.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires at least two years of experience in software development using C++ or Python, as well as two years of experience working with data structures or algorithms. Applicants must demonstrate expertise in GenAI, Large Language Models, and Agentic AI Systems. 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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