Senior Generative AI Engineer, Commerce Platforms

Google LLC; Zürich; On-site; CHF 180,000 - 240,000; Full time

Job summary

Google is seeking a Staff Software Engineer in Generative AI for Commerce in Zürich. The role demands leadership across high-impact projects, guiding architectural decisions, and delivering scalable software systems for a vast user base.

With deep experience in ML design, AI models, and modern infrastructure, you will drive end-to-end development, testing, deployment, and performance improvements. In-person interviews are typically required.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts.
• Experience building agentic workflows and tool-calling systems (e.g., with ADK, reasoning loops, multi-agent orchestration).

Responsibilities

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

Skills

Software development

ML design

ML infrastructure

GenAI techniques

Agentic workflows

Education

Bachelor's degree or equivalent practical experience

Tools

Spanner/F1

Flume

ADK

Job description

Google is seeking a Staff Software Engineer in Generative AI for Commerce in Zürich. The role demands leadership across high-impact projects, guiding architectural decisions, and delivering scalable software systems for a vast user base.

With deep experience in ML design, AI models, and modern infrastructure, you will drive end-to-end development, testing, deployment, and performance improvements. In-person interviews are typically required.