Minimum qualifications: 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). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience in developing and deploying applications on cloud infrastructure (e.g., Google Cloud Platform). Experience with software architecture, system design, backend. About the job 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. We are looking for a Software Engineer who is passionate about delivering Generative AI technologies to Cloud customers. In this role, you will be working closely with researchers, engineers, and product managers from both Google Cloud AI and Google Research, developing challenging 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. Poland: zł280000 - zł287000 (PLN) + 15% bonus target + equity + benefits Learn more about benefits at Google. 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.