At a Glance
- Tasks: Lead the development of complex AI applications and build high-performance evaluation pipelines.
- Company: Join Google, a leader in innovative technology and AI solutions.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Be part of a diverse team committed to equal opportunity and innovation.
- Why this job: Make a real impact in the AI field while working with cutting-edge technologies.
- Qualifications: Bachelor's degree, software development experience, and fluency in French and German.
The predicted salary is between 70000 - 90000 £ per year.
Minimum Qualifications
- 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, optimization, 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 Qualifications
- Master’s 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 ADK) and complex patterns like ReAct, self-reflection, and hierarchical delegation.
- Knowledge of "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
- Serve as the lead developer for 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.
- Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
- Build 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.
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
Equal Opportunity and EEO Statement
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
Forward Deployed Engineer III, Generative AI (French, German) employer: Google
As a Forward Deployed Engineer III at Google, you will thrive in a dynamic and inclusive work environment that champions innovation and collaboration. With access to cutting-edge technology and a commitment to employee growth, you'll have the opportunity to lead complex AI projects while working alongside talented teams in a culture that values diversity and creativity. Located in a vibrant tech hub, this role offers unique advantages such as networking opportunities with industry leaders and a chance to make a significant impact in the field of Generative AI.
