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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on Generative AI in Google Cloud, integrating large language models (LLMs) with balanced trade-offs between performance and deployment. Responsibilities include collaboration with clients like Gemini Code Assist and development of the AI Developer Tools Platform and related services. Required skills include Go and ML infrastructure experience. Compensation is 280,000 – 287,000 PLN plus bonus and benefits such as medical care and educational support.
from: 1 September 2026
to: 1 October 2026
23 333 - 23 917 złgross/ mth.contract of employment (full-time)
Salary details
Poland: zł280000 - zł287000 (PLN) + 15% bonus target + equity + benefits
Offer parameters
level:mid
working mode:hybrid
Warszawa, Śródmieście
Requirements
Expected technologies
Go
Optional technologies
Google Cloud Platform
Operating system
Linux
Our requirements
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages (e.g., Go), or 1 year of experience with an advanced degree.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Optional
- Experience in developing and deploying applications on cloud infrastructure (e.g., Google Cloud Platform).
- Experience building applications for enterprise needs, which includes AI safety, data residency, integration with existing systems.
- Familiarity 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.
- Track record of innovative ideas and rapid execution in the AI/ML space.
Your responsibilities
- Work closely with our customers including Antigravity, Gemini Code Assist, Gemini CLI, Android Studio, and others to address their needs and requirements.
- 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.
- Manage individual project priorities, deadlines, and deliverables, applying innovative AI techniques to increase productivity.
About the project
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.
As a Software Engineer, you will be passionate about delivering Generative AI technologies to Cloud customers. You will be working closely with researchers, engineers, and product managers from both Google Cloud AI and Google Research, developing machine learning solutions that will contribute directly to Google's product excellence. You will develop features that integrate the next generation large language model with balanced trade-off between performance and deployment constraints.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Benefits
- sharing the costs of sports activities
- private medical care
- sharing the costs of foreign language classes
- sharing the costs of professional training & courses
- life insurance
- remote work opportunities
- fruits
- corporate products and services at discounted prices
- integration events
- dental care
- corporate gym
- corporate sports team
- retirement pension plan
- saving & investment scheme
- corporate library
- no dress code
- coffee / tea
- drinks
- parking space for employees
- leisure zone
- extra social benefits
- meal passes
- redeployment package
- employee referral program
- opportunity to obtain permits and licenses
- charity initiatives
- extra leave
Software Engineer III - Cloud AI
23.3k–23.9k zł / mth. (CoE)
I apply to:
Google
Warszawa, Śródmieście
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