Senior AI Cloud Engineer — Vertex AI & Generative Tech

Google

Warszawa

On-site

PLN 364,000 - 373,000

Full time

9 days ago
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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

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.

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