Google is a leading technology company that develops next-generation technologies to enhance how users connect and interact with information. As a Software Engineer in BigQuery’s Analytics AI organization, you will design and implement AI-native solutions to solve complex data challenges and optimize data processing pipelines.
Lead the design and development of next-generation agentic solutions that handle complex reasoning for various data developer experiences such as data ingestion, data pipelines, data science, feature extraction, model training and more
Redefine the customer experience for Data Analytics with an AI-first focus
Architect systems that integrate Large Language Models (LLMs) with BigQuery’s core engine to create autonomous "experts" for user personas
Iterate on agentic frameworks, contributing to sophisticated tool-use, memory, context retrieval, multi-step orchestration, and rigorous evaluation (evals) to ensure accuracy and reliability of orchestration at petabyte scale
Partner cross-functionally with Product, Data Scientists, Applied Scientists, and UX Designers to define the roadmap for AI-native data journeys
Qualification
Required
Bachelor's degree or equivalent practical experience
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting
2 years of software development experience with a focus on AI/ML or Data Analytics
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture
Experience with one or more of Java/Go/Python/TypeScript
Experience in Generative AI, Agentic Frameworks (e.g., LangChain, AutoGen), Backend System Design, ML concepts and Cloud services (Google Cloud Platform, Cloud Computing Platform)
Preferred
Master's degree or PhD in Computer Science or related technical fields
Experience building developer-facing products for integrated development environments (IDEs like VSCode) or Command Line (CLI)
Experience with Large Language Models for code (e.g., Gemini, GPT-4, Claude), modern cloud infrastructure, and industry-standard developer tool frameworks
Familiarity with data warehousing concepts and BigQuery
