refresh

Trending companies

Trending companies

Jobs

JobsGoogle

Software Engineer III, Agent Development Kit

Google

Software Engineer III, Agent Development Kit

Google

·

On-site

·

Full-time

·

2w ago

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will be part of a team developing core technology that is open-sourced on a code hosting platform. This initiative will support Google and external developers globally

You will be part of a team developing core technology that is open-sourced on a code hosting platform. This initiative will support Google and external developers globally.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Responsibilities

  • Build applications for enterprise needs, which includes AI safety, data residency, integration with existing systems, and return on investment.

  • Familiar with AI, machine learning, large language models (LLMs), or AI agents.

  • Understand the unique needs of Cloud customers and effectively bridge the gap between cutting-edge AI technology and real-world use cases outside of Google.

Minimum qualifications

  • Bachelor’s degree or equivalent practical experience.

  • 2 years of experience with software development in one or more programming languages or 1 year of experience with an advanced degree.

Preferred qualifications

  • Master's degree or PhD in Computer Science or related technical fields.

  • 2 years of experience with data structures or algorithms.

  • Experience using Go or Java.

  • Experience using Generative AI Agent.

  • Experience developing accessible technologies.

Total Views

0

Apply Clicks

0

Weekly mock applicants

0

Bookmarks

0

About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work-life balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

57,502 data points

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense