Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages (Python, C++, etc.) 1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). Experience developing and launching products leveraging Agent Development Kit (ADK). Experience architecting and developing solutions on Google Cloud Platform. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience developing accessible technologies. Experience with Deep Learning/Machine Learning. 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. 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. US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Implement Generative AI, Large Language Models (LLMs), and Agent-based systems. Utilize Google Cloud Platform (GCP) and MLOps practices to support system operations. Contribute to the design of agent architectures, prompts, and interaction models, often in collaboration with senior engineers. Identify and address potential issues in agent behavior, including error managing, safety, and reliability. Implement and optimize agent capabilities, including reasoning loops, RAG, MCP tools, and multi-agent architecture.