So… why is it free?

Employers pay when they hire through Elip. You're not the product — you're the talent it finds. No contracts, no card. Not useful? One message wipes everything. No hidden Pro tier. No “contact sales.” This is the entire pricing page.

Cloud AI Engineer at Google — Hyderabad

Experience2–5 yrs
SalaryNot disclosed
Work modeonsite
Levelmid
Posted15 Sept 2026

Apply for this job

About Google

Google is hiring in Hyderabad in technology software. This role looks for around 2+ years of experience.

Skills

Generative AI
Intelligent agents
LLM-powered solutions
English

The role

A generative AI engineer at a cloud technology company builds generative AI applications and intelligent agents, deploying Retrieval-Augmented Generation and multimodal solutions for enterprise customers. The role also applies Agent Development Kits and advises technical stakeholders on secure, governed platform adoption.

Full job description

Google is hiring for the role of Cloud AI Engineer!

Responsibilities of the Candidate:

Deliver, deploy, and implement Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to solve complex technical customer challenges.

Act as a trusted technical advisor to Google’s most strategic customers to drive and accelerate the adoption of Gemini Enterprise.

Provide guidance on existing product challenges, and collaborate with the engineering team to address the challenges or provide possible workarounds.

Deliver leading practice recommendations and technical presentations adapted to different levels of key business and technical stakeholders to proactively foster Gemini Enterprise adoption and enablement.

Requirements:

Minimum qualifications:

Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.

Experience building generative AI applications, intelligent agents, or LLM-powered solutions, and working directly with technical customers.

Ability to communicate in English fluently to support client relationship management.

Preferred qualifications:

Experience building and orchestrating agents using Agent Development Kits (ADKs) or popular frameworks (e.g., LangChain, LlamaIndex, AutoGen).

Experience implementing Retrieval-Augmented Generation (RAG) architectures and securely connecting LLMs with external productivity tools (e.g., Google Workspace) and internal databases.

Experience in leveraging LLMs to deploy multimodal solutions encompassing text, image, video, and voice.

Experience deploying, configuring, and managing enterprise-grade generative AI platforms, particularly Gemini Enterprise, with an understanding of security, governance, and compliance requirements.

Knowledge of cloud computing, including serverless execution environments, virtualization, hosted services, multi-tenant cloud infrastructures, and secure cloud networking.