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.

Staff Software Engineer at Google — Hyderabad

Experience10–14 yrs
SalaryNot disclosed
Work modeonsite
Levelexecutive
Posted2 Sept 2026

Apply for this job

About Google

Google is hiring in Hyderabad in technology software. This role looks for around 10+ years of experience.

Skills

System Design
Full-Stack Development
Go
Large Language Model
Generative AI Agent

The role

A generative AI engineer at a cloud software company designs and builds API management and AI integration products using Generative AI Agent, Large Language Model, and distributed systems. The role also applies Full-Stack Development to scalable control and data planes.

Full job description

The Apigee India team is looking for a Staff Software Developer (L6) to join us in building and scaling the next generation of API management and AI integration tools. In this role, you will play a hands-on part in developing API Hub (the central catalog for APIs, MCP Servers, and AI Agents) and Apigee's Value-Added Services (VAS) portfolio, which includes high-scale systems for API Security, Analytics, Distribution, and Monetization.

As an L6 engineer, you will own the end-to-end design, implementation, and testing of key features across our control and data planes. You will work on making organizational assets easily discoverable and secure for traditional developers as well as emerging AI agents. This is an exciting opportunity to solve complex, real-world distributed systems problems, collaborate with senior engineers, and directly contribute to a core product in the Google Cloud (GCP) ecosystem.

Requirements:

Required Skills: System Design, Full-Stack Development, Go, Large Language Model, Generative AI Agent.

Preferred Qualifications:

Bachelor's degree in computer science, a related technical field, or equivalent practical experience.

Experience in software development, with a proven track record of designing and implementing high-volume, distributed systems or cloud-native infrastructure.

Experience with Large Language Models (LLMs), generative AI, agentic AI frameworks, and RAG systems

Ability to take ambiguous product requirements and translate them into concrete, scalable technical architectures.