Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 1 year of experience with data structures and algorithms.
- 1 year of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
Preferred qualifications:
- Experience designing and developing CLIs, or other developer-facing tools
- Familiarity with Google Cloud Platform services or similar cloud technologies.
- Familiarity with AI agent concepts and frameworks.
- Knowledge of agentic design patterns, agent evaluations, multi-agent systems, and LLM orchestration.
- Excellent coding skills in Java, C++, Python.
About the job
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.Poland: zł206000 - zł212000 (PLN) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Contribute to the core capabilities, performance, and developer experience of Agent Platform to support a global developer base.
- Participate in the design and deployment of tooling, libraries, and frameworks that optimize the AI agent life-cycle, including testing, debugging, deployment, and observability.
- Collaborate with internal (third-party) and external (third-party) developers to gather feedback and help translate their needs into new features for the AI agent ecosystem.