Staff GenAI Research Engineer - Multi-Agent AI & Co-Scientist

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

Job summary

Google LLC in Zurich seeks a Share Staff Research Engineer for Generative AI within Cloud AI Research. You will lead the Co-Scientist multi-agent system, translating academic AI research into scalable software while collaborating with researchers and partners. You will mentor engineers and drive end-to-end project delivery in a fast-paced environment.

The role emphasizes architecture, evaluation pipelines, and cross-team collaboration to push state-of-the-art AI capabilities at scale.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development, including testing and launching software products.
• 3 years of experience optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 2 years of experience with GenAI techniques (LLMs, Multi-Modal, Large Vision Models) or GenAI-related concepts.

Responsibilities

• Own projects end-to-end, from initial scientific research concepts through software design, testing, deployment, and performance analysis.
• Build and deploy agentic AI systems, implementing multi-agent prompting techniques and asynchronous task execution frameworks.
• Drive technical decisions and full-stack software development using Python, C++, and Google's core back-end components.
• Design and establish robust evaluation pipelines, automated test suites, and diagnostic datasets to measure agent performance under extreme scale.
• Collaborate on research with Google DeepMind, Google Research, and university labs, while mentoring junior engineers and advocating engineering quality.

Skills

Software development

GenAI concepts

Leadership experience

Team collaboration

Education

Bachelor's degree or equivalent practical experience

Tools

Python

C++

JAX

TensorFlow

PyTorch

Job description

Google LLC in Zurich seeks a Share Staff Research Engineer for Generative AI within Cloud AI Research. You will lead the Co-Scientist multi-agent system, translating academic AI research into scalable software while collaborating with researchers and partners. You will mentor engineers and drive end-to-end project delivery in a fast-paced environment.

The role emphasizes architecture, evaluation pipelines, and cross-team collaboration to push state-of-the-art AI capabilities at scale.