Lead development for a spend-management product, shaping product, team, or technology strategy and building scalable backend and frontend systems for financial workflows.
About this role
This full-time Platform Engineer will join freee's AI Platform Engineering team, directly under the CAIO organization. The team was created to build the foundation and enablement needed to improve company-wide business processes as freee moves toward AI-Native operations, in addition to AI use in product development.
Responsibilities include operating, providing, and enterprise-enabling the internal n8n AI workflow platform; building a self-hosted environment and custom nodes; and designing a context platform. The engineer will use BigQuery, vector databases, and RAG/MCP pipelines to provide internal documents and data to AI systems while maintaining scalability.
The role covers authentication, authorization, and integrations for controlling access to internal data and AI tools. It also includes defining technical guardrails and usage guidelines for tools such as Cursor, Devin, and Gemini App, preventing shadow IT, measuring adoption impact and ROI, and optimizing costs for long-term sustainability.
In collaboration with business departments, the engineer will map existing processes, articulate domain knowledge, and convert it into prompts, workflows, Agent Skills, and A2A implementations. The role may lead AI showcase projects from use-case selection and requirements definition through implementation and impact verification, then expand the results through standard templates. It also supports internal users with hands-on sessions, study meetings, documentation, and learning materials, and researches, validates, and shares leading global AI technologies, tools, and practices.
Required experience includes about two or more years in backend development and operations for web applications, or infrastructure construction and operations using AWS or Google Cloud, with technologies such as Go, Python, or TypeScript. Candidates must understand LLM characteristics, including context windows, hallucinations, and RAG mechanisms, and have foundational Context Engineering knowledge. Experience improving work or developing applications with AI tools, including LLM APIs, n8n, or other AI services, is required. The role also requires project experience covering requirements definition through implementation and impact verification, plus experience advancing technical problem solving with other teams and stakeholders.
Preferred qualifications include experience using or operating AI workflow automation tools such as n8n; building RAG systems; designing or implementing AI Agents, MCP, or plugins; and using LangChain, LangGraph, or LlamaIndex. Experience with large-scale data platforms such as BigQuery, identity providers or OAuth, user-authentication integrations, MLOps, data platforms, or logging platforms is welcomed. Leadership of large-scale business transformation or AI-use projects is also preferred.
The position is based in Tokyo, and online interviews are available. Responsibilities may change according to business circumstances and the individual's suitability. freee develops integrated cloud software for small businesses, including accounting, human resources and labor management, sales management, tax filing, and electronic signatures.
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