Build generative-AI agent products from validation through launch and improvement. Define requirements, design architectures, and develop cloud systems; the role supports office or remote work in Japan.
About this role
Algomatic develops and provides services using generative AI. Its work includes AI enablement, which supports development and operating companies in changing to AI-based development processes, and AI-driven system development using AI agents and reusable components.
The AI Engineer will understand client operations and structure current-state and future-state requirements. Responsibilities include designing and implementing use cases with LLMs, retrieval-augmented generation, and AI agents; integrating systems into client environments; developing prototypes; and taking solutions into production. The role also covers improving business processes around AI agents, designing and implementing AI governance and quality-assurance mechanisms, and building algorithms using statistical methods, machine learning, and generative AI.
At the start of the role, the engineer will define requirements, design, and build AI-enabled systems and applications. The engineer will also support continuous improvement after proof-of-concept work so that the systems become established in business operations.
Projects include developing a new AI-native business with a major staffing company, where AI agents are used for career-advisor interviews and matching. Another project is an AI system for back-office operations across approximately 1,500 domestic and international retail stores, covering inventory adjustments, sales reports, delivery management, and allocation tasks.
The work primarily involves generative-AI projects and includes broad responsibility for design, implementation, and technology selection. Projects span different industries and analytical themes, from upstream requirements organization through design, development, and operation. The role also involves modeling domain knowledge for clients in multiple industries and using AI tools in the work environment.
The stated technology stack includes Python with FastAPI, and TypeScript with React, Next.js, and Hono. Agent frameworks include PydanticAI, OpenAI Agents SDK, Claude Agent SDK, Vercel AI SDK, and Mastra. Named LLMs are Claude, GPT, and Gemini. Cloud technologies include AWS services such as Bedrock, Lambda, Step Functions, ECS/Fargate, Aurora, DynamoDB, S3, API Gateway, and SQS, as well as GCP services including Vertex AI, Cloud Run, Firebase Auth, Firebase Hosting, Firestore, Cloud Storage, and Pub/Sub. Communication tools are Slack and Google Meet; collaboration uses Figma; documentation uses Notion; ticket management uses Linear; and listed AI tools include Gemini, ChatGPT, Cursor, Claude Code, and Codex.
The workplace is in Ginza, Chuo-ku, Tokyo, with work either at the office or remotely. No salary, working hours, employment term, benefits, or language requirement is stated.
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