Supports enterprise clients by organizing operational challenges, building AI and low-code solutions, delivering training, and helping drive adoption across AI transformation projects.
About this role
Algomatic develops services that use generative AI. Its work combines AI implementation support for client companies with domain-specific AI products. The business also supports changes to client operations, development processes, and organizations, including AI-native development transformations and AI-agent-based system development.
This full-stack engineer designs and develops AI-agent products. Responsibilities cover value and technical validation in 0-to-1 initiatives, product launches, and ongoing improvement. The role balances short-term delivery of customer value with sustainable medium- and long-term growth, including control of technical debt. It includes requirements definition and architecture studies for customer problem solving, as well as collaboration with designers, product managers, sales, and other team members.
Projects described include a new AI-native business developed jointly with a major human-resources company, where AI agents handle labor-intensive career-advisor interviews and matching. Another project builds an AI-agent system for a major retail company to support back-office work across about 1,500 stores, including inventory adjustment, sales reporting, delivery management, and allocation. The project reduced inventory-adjustment work by 75% and standardized reporting quality.
The initial work includes designing, developing, and supporting operations for AI agents in cloud environments such as AWS, GCP, and Azure. It also includes requirements definition, system design, and construction for new projects and feature extensions for existing clients, plus technical research and technology-selection support for cloud services and generative-AI tools.
The position covers work from upstream requirements organization through design, development, and operations. Projects generally use teams of about three to ten people, with broad responsibility for design, implementation, and technical selection. The stated stack includes Python with FastAPI, TypeScript with React and Hono, AWS with ECS and Aurora, and GCP with Looker Studio. Communication uses Slack and Google Meet; collaboration uses Figma; documents are managed in Notion; tickets in Linear; and AI tools include Gemini, ChatGPT, Cursor, Claude Code, and Codex.
The listed location is Ginza, Chuo-ku, Tokyo, with work either at the office or remotely.
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