Senior GenAI Engineer — Real-World Journeys

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking software engineers to build next-generation technologies at large scale. You will work on high-impact projects across AI, information retrieval, and distributed systems, contributing to design reviews and robust code.

The role emphasizes leadership, collaboration, and innovative problem solving. In this role you will help leverage AI agents to research, summarize, and take action on user tasks, influencing how users interact with the world.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
• 1 year of experience with software design and architecture.
• 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Write and test product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Develop and work with Machine Learning (ML) models.

Skills

Python

C++

End-to-end ML

Software design

GenAI techniques

GenAI tools integration

Education

Bachelor's degree or equivalent practical experience

Job description

Google is seeking software engineers to build next-generation technologies at large scale. You will work on high-impact projects across AI, information retrieval, and distributed systems, contributing to design reviews and robust code.

The role emphasizes leadership, collaboration, and innovative problem solving. In this role you will help leverage AI agents to research, summarize, and take action on user tasks, influencing how users interact with the world.