GenAI Productivity Agent Engineer

Google LLC; Zürich; On-site; CHF 150,000 - 210,000; Full time

Job summary

DeepMind in Zürich seeks engineers and researchers to help build productivity-oriented AI agents and GenAI-driven systems. You will design scalable ML pipelines, train and evaluate models, and contribute production-ready code.

The role emphasizes collaboration across research, engineering and product teams in a fast-changing, research-driven environment. Excellent English communication is required for global collaboration.

Qualifications

• Experience building systems powered by LLMs or other ML models.
• Experience in software development in training, developing or applying machine learning models.
• Strong collaboration and communication across research, engineering and product teams.

Responsibilities

• Build and optimize multi-agent hierarchical pipelines and cross-application reasoning agents for productivity agents.
• Develop, scale, and maintain automated evaluation raters to assess model capabilities under real-world conditions.
• Maintain secure execution environments to evaluate agent trajectories and enable large-scale distillation and training.

Skills

LLM systems design

ML model training

Software development

Cross-team collaboration

Tools

Python

Bash

Job description

DeepMind in Zürich seeks engineers and researchers to help build productivity-oriented AI agents and GenAI-driven systems. You will design scalable ML pipelines, train and evaluate models, and contribute production-ready code.

The role emphasizes collaboration across research, engineering and product teams in a fast-changing, research-driven environment. Excellent English communication is required for global collaboration.