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.
The team is building Artificial Intelligence (AI)-powered agents using Gemini and the Agent Development Kit (ADK) to provide intuitive, conversational access to essential government services.
In this role, you will work on Digital Public Infrastructure (DPI) projects in emerging markets, leveraging open network protocols to create interoperable systems for agriculture, education, healthcare, and more. You will drive national-scale digital transformation, making public services more accessible and efficient for millions.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.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with data structures and algorithms.
- 2 years of experience with software development in one or more programming languages like Python or Go.
- Experience with Large Language Models (LLMs), Generative AI, and Agentic AI frameworks.
- Experience in cloud computing, back-end, and distributed systems.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- Experience of developing Agentic AI systems using Vertex AI, Google ADK etc.
- Experience in software development, with a proven track record of designing and implementing high-volume, distributed systems or cloud-native infrastructure.