Senior Software Engineer, Agent Platform Workbench

Google; Warszawa; On-site; PLN 364,000 - 373,000; Full time

Job summary

Google Cloud’s AI/ML engineers shape enterprise AI by building notebook experiences and foundational infrastructure for Generative AI agents. You’ll contribute to Vertex AI Notebooks and collaborate with cross-functional teams to deliver scalable tooling that powers billions of interactions.

The role emphasizes security, reliability, and a bias to action as you help advance Gemini models and enterprise AI capabilities across Google Cloud.

Qualifications

• 5 years of full stack development across backend and frontend.
• 3 years testing, maintaining, or launching software products; 1 year in architecture/design.
• Bachelor's degree or equivalent practical experience.
• Master’s degree or PhD preferred in engineering/CS or related field.
• Experience with accessible technologies and technical leadership is a plus.

Responsibilities

• Design and implement best developer tools and platform for Vertex AI and GCP.
• Lead the technical execution for major product initiatives with high quality and timely delivery.
• Work closely with customers to improve user experience.
• Balance product thinking, development, and continuous delivery with action.

Skills

Full stack development experience

Backend languages: Java, Python, Go, C

Frontend languages: JavaScript/TypeSct

Software testing/launch experience

Software design/architecture

Education

Bachelor's degree or equivalent

Master’s degree or PhD in Engineering/CS or related field

Tools

Java

Python

Go

C++

JavaScript

TypeScript

HTML

CSS

Job description

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with full stack development, across back-end (Java, Python, GO, or C++) and front-end (JavaScript or TypeScript, HTML, CSS or equivalent).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or other technical related field.
• 5 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
• Experience in a technical leadership role.

About The Job

Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.

In this role, you will be at the forefront of delivering a notebook experience and building the foundational infrastructure for Generative AI agents. Your contributions will directly enhance Vertex AI Notebooks, as you collaborate with dynamic, cross-functional teams. You will have a passion for learning Google's AI technologies.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Poland: zł364000 - zł373000 (PLN) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Design and implement best developer tools and platform for customers of Vertex AI and Google Cloud Platform (GCP).
• Lead the technical execution for major product initiatives, ensuring high-quality and timely delivery.
• Work closely with our customers to constantly improve user experience.
• Demonstrate a bias for action by balancing product thinking, development, and continuous delivery.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .