Google Hiring: Software Engineer II, AI/ML – Bangalore | Apply Now

Introduction

Google is hiring for the position of Software Engineer II, AI/ML in Bengaluru, Karnataka, India. Candidates interested in Google AI Engineer Jobs can explore this exciting opportunity to join one of the world’s most innovative technology companies. This latest recruitment drive offers aspiring software engineers and machine learning professionals the chance to work on advanced technologies that impact billions of users worldwide. The role combines software engineering expertise with artificial intelligence and machine learning capabilities, making it an ideal opportunity for candidates looking to build a successful career in AI-driven product development. Applicants interested in Google Careers should carefully review the eligibility criteria, required skills, responsibilities, and application process before applying.

Job Overview

About Google AI Engineer Jobs

Google is a global technology company known for developing products and services that help people access information, communicate, and solve problems more efficiently. From Search and Android to Google Cloud and Gemini AI, the company continues to drive innovation through research and engineering excellence. Google’s products serve billions of users across the globe, making it one of the most influential technology organizations in the world.

The Software Engineer II, AI/ML position is part of Google’s Platforms and Devices organization, which develops software platforms and intelligent experiences across multiple devices and operating environments. Engineers in this team work on challenging technical problems involving artificial intelligence, machine learning, distributed systems, large-scale data processing, and software development.

Google Careers are recognized for offering exceptional learning opportunities, exposure to cutting-edge technologies, and collaboration with some of the brightest minds in the industry. Candidates selected for Google AI Engineer Jobs will contribute to innovative products while enhancing their expertise in software engineering, AI systems, and machine learning applications.

Roles and Responsibilities

• Write efficient, scalable, and maintainable software development code.

• Design and implement software solutions for AI and machine learning applications.

• Collaborate with engineering teams during code reviews and design discussions.

• Follow coding standards and software development best practices.

• Develop and improve system performance, reliability, and scalability.

• Create and maintain technical documentation.

• Troubleshoot and resolve software, network, and system-related issues.

• Analyze product performance and identify improvement opportunities.

• Apply foundational machine learning concepts to production systems.

• Contribute to the development of AI-powered features and services.

• Work closely with product managers and cross-functional teams.

• Support continuous innovation across Google products and platforms.

Required Skills

Technical Skills

• Python Programming

• Java, C++, C, or JavaScript

• Data Structures and Algorithms

• Machine Learning Fundamentals

• Object-Oriented Programming

• Software Development Lifecycle

• System Design Concepts

• Version Control Tools (Git)

• Debugging and Troubleshooting

• Software Testing and Optimization

Soft Skills

• Communication Skills

• Team Collaboration

• Analytical Thinking

• Problem Solving

• Time Management

Eligibility Criteria for Google AI Engineer Jobs

• Bachelor’s degree or equivalent practical experience.

• Minimum 1 year of software development experience.

• Experience with one or more programming languages such as Python, Java, C++, C, or JavaScript.

• Strong understanding of data structures and algorithms.

• At least 1 year of experience implementing core machine learning concepts.

• Ability to work in a collaborative and fast-paced environment.

• Strong analytical and problem-solving abilities.

• Excellent verbal and written communication skills.

Candidates applying for Google AI Engineer Jobs should carefully review all eligibility requirements before submitting their applications.

Preferred Skills

• Master’s Degree or PhD in Computer Science or related field.

• Experience working with Large Language Models (LLMs).

• Knowledge of agentic AI workflows and automation systems.

• Experience with distributed systems and big data processing.

• Machine learning model development and deployment.

• Data science and statistical analysis expertise.

• Full-stack software development experience.

• Backend and frontend engineering knowledge.

• Interest in AI-powered abuse detection and trust systems.

• Cloud computing and scalable architecture experience.

Salary and Benefits

• Competitive Salary Package

• Health and Medical Insurance

• Paid Time Off and Leave Benefits

• Employee Wellness Programs

• Learning and Development Opportunities

• Career Growth and Internal Mobility

• Performance-Based Bonuses

• Global Project Exposure

• Access to Advanced AI Technologies

• Professional Development Support

Why Apply for Google AI Engineer Jobs

Candidates interested in Google AI Engineer Jobs can benefit from outstanding career growth opportunities, exposure to world-class engineering teams, and access to cutting-edge artificial intelligence technologies. Google provides an environment where innovation, learning, and collaboration are encouraged, allowing employees to work on products used by billions of users globally.

This role offers the chance to develop expertise in machine learning, software engineering, distributed systems, and AI-powered applications while contributing to impactful projects. Professionals seeking long-term career advancement in the technology industry will find Google Careers highly rewarding due to the company’s focus on employee development, technical excellence, and innovation.

Selection Process

1. Online Application

2. Resume Screening

3. Recruiter Discussion

4. Online Coding Assessment

5. Technical Interviews

6. Behavioral Interview

7. Final Selection

Important Dates

How to Apply

Candidates can use the application link provided below to submit their applications. Make sure to review the eligibility criteria and complete the application before the deadline.