Forward Deployed Engineer, Gen AI, Google Cloud (English, Japanese)

• Serve as a developer for Artificial Intelligence (AI) applications, transitioning from prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive Return on Investment (ROI).
• Architect and code the connection between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of a team.
• Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety and latency.
• Identify repeatable field patterns and 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 project success and end-user adoption.

Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 2 years of experience in Python and a related machine learning package (e.g., Keras, PyTorch, HF Transformers).
• Experience in applied AI, with building systems around pre-trained models (e.g., prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), orchestrating model interactions with external tools to deliver solutions).
• Experience with architecting, deploying, or managing solutions on a Cloud Platform (e.g., Google Cloud Platform).
• Ability to communicate in Japanese and English fluently to interact with internal and external stakeholders.

Preferred qualifications:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience with implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s ADK) and patterns like ReAct, self-reflection, and hierarchical delegation.
• Knowledge of Large Language Model (LLM)-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 2 years of experience in Python and a related machine learning package (e.g., Keras, PyTorch, HF Transformers).
• Experience in applied AI, with building systems around pre-trained models (e.g., prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), orchestrating model interactions with external tools to deliver solutions).
• Experience with architecting, deploying, or managing solutions on a Cloud Platform (e.g., Google Cloud Platform).
• Ability to communicate in Japanese and English fluently to interact with internal and external stakeholders.