Senior AI DevTools Platform Engineer

Google LLC; Warszawa; On-site; PLN 280,000 - 287,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google LLC is seeking a Software Engineer III for the AI Development Tools Platform in Warsaw, Poland. The role focuses on developing and deploying enterprise AI tooling, with emphasis on integrating large language models and cloud-based services, and collaborating across Google Cloud AI and Google Research teams.

You will build server and middleware components interacting with the latest LLMs, participate in design reviews, and work with customers to address their needs while driving

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with backend development in one or more programming languages, or 1 year of experience with an advanced degree.

Responsibilities

• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Design and implement the AI Developer Tools Platform and related services under the Gemini Enterprise umbrella, collaborating closely with other teams and functions across Cloud AI and beyond.
• Work closely with our customers—including Antigravity, Gemini Code Assist, Gemini CLI, Android Studio, and others—to address their needs and requirements.
• Manage individual project priorities, deadlines, and deliverables, applying innovative AI techniques to increase productivity.

Skills

Backend development

Go language

AI/ML familiarity

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD (preferred)

Tools

Google Cloud Platform

Enterprise AI tooling

Job description

Google LLC is seeking a Software Engineer III for the AI Development Tools Platform in Warsaw, Poland. The role focuses on developing and deploying enterprise AI tooling, with emphasis on integrating large language models and cloud-based services, and collaborating across Google Cloud AI and Google Research teams.

You will build server and middleware components interacting with the latest LLMs, participate in design reviews, and work with customers to address their needs while driving