Requirements

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Ability to communicate in French and German fluently to support client relationship management in this region.

Preferred

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and complex patterns like ReAct, self-reflection, and hierarchical delegation.
Knowledge of Large Language Model"(LLM)-native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.

Responsibilities

Lead development of complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
Design and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
Develop high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and technical "friction points" in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Partner with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Perks and Benefits

Opportunity to work with cutting-edge technology at Google.
Collaborative culture providing direct access to DeepMind's engineering and research minds.
Empowerment to solve customer challenges and drive customer success.
Be part of the AI revolution in businesses worldwide.

```

Apply here

AI Summary ✨

Google

London, UK

Google

London, UK

Experience: Senior

Posted: August 6, 2026

Last seen: 2 hours ago

Gcp

Golang

Nodejs

React

machinelearning

Why we track Google

Google has one of the largest EU engineering presences of any US company. Zurich, London, Munich, and Dublin all run core product work—Search, Maps, YouTube, Cloud. The Zurich office alone is one of their biggest globally. If you want FAANG-level work in Europe, this is one of the best options.

More jobs Salary Data

Apply here