Forward Deployed Engineer, GCC (French, German)

Salary: £160,000 - 200,000 per year

Requirements:

• Bachelors 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, such as model deployment, model evaluation, data processing, or debugging.
• Experience with GenAI techniques, such as LLMs, multi-modal, or large vision models, or with GenAI-related concepts such as language modeling or computer vision.
• Ability to communicate fluently in French and German to support client relationship management in this region.
• Masters degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks such as LangGraph, CrewAI, or Googles Agent Development Kit (ADK), and complex patterns like ReAct, self-reflection, and hierarchical delegation.
• Knowledge of LLM-native metrics such as tokens/sec and 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 rapid prototypes into production-grade agentic workflows that drive measurable return on investment.
• Design and code the connective tissue between our AI products and customer live infrastructure, including APIs, legacy data silos, and security perimeters.
• Develop high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
• Identify repeatable field patterns and technical friction points in our AI stack, and convert them into reusable modules or formal product feature requests for our engineering teams.
• Partner with customer engineering teams to instill Google-grade development best practices and support long-term project success and high end-user adoption.

Technologies:

• AI
• Cloud
• Computer Vision
• Support
• LLM
• MCP