Requirements:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience in designing, building, and deploying NLP models and Generative AI agents.
- Experience implementing DevOps and MLOps pipelines.
- Experience in building generative AI solutions in a customer-facing role.
- Experience in ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, and debugging) and coding in Python.
- Ability to communicate in French or German fluently to support client relationship management in this region.
Nice to haves:
- Master’s or PhD in AI, Computer Science, or a related technical field.
- Agentic Framework Expert: 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.
- Protocol Expertise: Proven ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.
- Inference Optimization: Knowledge of "LLM-native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
- Languages: Fluent in French, Spanish, Italian or other European languages.
What you'll be doing:
- Lead the Discovery-to-Deployment Journey: Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows.
- Bridge the Enterprise Gap: Architect and code the connective tissue between Google’s AI products and customer's live infrastructure.
- Engineer for Production Excellence: Build high-performance evaluation (Eval) pipelines and observability frameworks.
- Act as a Product Catalyst: Identify repeatable field patterns and technical "friction points" in Google’s AI stack.
Perks and benefits:
Ireland: €100000 - €103000 (EUR) + 15% bonus target + equity + benefits
Learn more about benefits at Google.