Senior AI DevTools Engineer – Generative AI Platform

Who is Hiring

Polska

On-site

PLN 280,000 - 287,000

Full time

5 days ago
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Job summary

Google Warsaw is hiring a Mid-level Software Engineer to contribute to backend development and AI tooling within Google Cloud AI initiatives. You will help design and implement the AI Developer Tools Platform under the Gemini Enterprise umbrella, collaborating with researchers, engineers, and product managers across teams.

You will work on integrating large language model capabilities and building scalable Generative AI solutions, with a focus on performance, deployment constraints, and

Qualifications

  • Bachelor's degree or equivalent; 2 years backend experience or 1 year with an advanced degree.
  • Experience with backend development in one or more programming languages.
  • Master's degree or PhD in Computer Science or related fields is preferred.
  • Experience with Go language and cloud platforms like Google Cloud Platform.

Responsibilities

  • Write product or system development code.
  • Participate in design reviews to decide amongst available technologies.
  • Design and implement the AI Developer Tools Platform and related services under the Gemini Enterprise umbrella.
  • Work closely with customers including Antigravity, Gemini Code Assist, Gemini CLI, Android Studio, and others.
  • Manage project priorities, deadlines, and deliverables, applying innovative AI techniques to increase productivity.

Skills

Backend development
Go language
Cloud platforms (GCP)
AI safety awareness
Data residency

Education

Bachelor's degree or equivalent
Master's degree or PhD (preferred)

Job description

Google Warsaw is hiring a Mid-level Software Engineer to contribute to backend development and AI tooling within Google Cloud AI initiatives. You will help design and implement the AI Developer Tools Platform under the Gemini Enterprise umbrella, collaborating with researchers, engineers, and product managers across teams.

You will work on integrating large language model capabilities and building scalable Generative AI solutions, with a focus on performance, deployment constraints, and

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