Forward-Deployed Engineer (FDE)
Job Summary
As an implementation consultant, you will redesign client business processes using AI agents. You will be responsible for the full lifecycle of projects, from defining requirements to production deployment and operational improvement. This role requires a hands-on approach, combining consulting expertise with technical implementation using tools like n8n, Dify, and Claude Code.
Responsibilities
- Analyze customer business flows and identify operational challenges
- Design and implement AI agent scenarios and workflows
- Develop integrations using n8n, Dify, and Claude Code
- Manage end-to-end DX project lifecycle from requirements to deployment
- Monitor performance and drive continuous improvement cycles
Required Skills
- Experience building AI agent workflows (n8n, Dify, Zapier, Make)
- Strong project management and requirements gathering skills
- Professional background as SE, PM, or IT consultant
- Native Japanese proficiency
- Daily conversation level English (TOEIC 475-730)
Job Details
1. Position Overview
As an "implementation consultant," you will deeply immerse yourself in the client's operations and fundamentally redesign business processes using AI agents. You will engage with clients from the very beginning, even before requirements are finalized, defining "what should be built" and "how far should it be built." Utilizing cutting-edge AI tools such as Claude Code, n8n, and Dify, your mission is to ensure that concepts don't end as PoCs, but are completed as production systems integrated into actual business operations. Unlike traditional consultants who simply "look and propose," this position is an FDE (Forward-Deployed Engineer) role, where you "look, propose, and implement and see it through."
2. Specific Job Responsibilities
You will begin by conducting practical interviews with clients to identify challenges based on their business flow, decision-making processes, and constraints. From there, you will be responsible for the entire process, from AI agent design and implementation to production deployment and operational improvement.
• Analyzing customer business flows and structuring challenges
• Designing AI agent utilization scenarios and defining success indicators
• Workflow development using n8n, Dify, Claude Code, etc., external API integration, and LLM/RAG implementation
• Building business automation using Claude Cowork, RPA, etc.
• Rapid deployment of prototypes to the field and production implementation incorporating feedback
• Monitoring usage after implementation and promoting improvement cycles
• Standardizing and sharing project-gained knowledge within the company
• PM/PMO for small to medium-sized DX projects
Working Hours
10:00 AM - 7:00 PM (Core time: 11:00 AM - 3:00 PM Japan time).