AI/data agency building RAG systems and data platforms in Japan
Royal Agent is a Tokyo-based AI and data consulting firm with 2–10 employees, currently in hiring acceleration mode. The tech stack reveals a full data engineering backbone (Snowflake, Redshift, dbt, Airflow) paired with modern AI infrastructure (Azure OpenAI, RAG, LLMs, VLMs) and multi-cloud deployment (AWS, GCP, Azure). Project focus on RAG-based personalization, expert-matching automation, and large-scale data search suggests the agency is moving beyond traditional consulting into custom AI product builds — a shift underscored by active backend SaaS work and pipeline-stage hiring weighted heavily toward senior engineering roles.
Royal Agent is an AI and data consulting agency operating from Shinjuku-ku, Tokyo. The firm specializes in career development consulting and data-driven transformation work, with current projects spanning data platform construction, generative AI implementations, RAG systems, and research operations automation. The agency serves clients across Japan and operates across multiple cloud providers (AWS, GCP, Azure), suggesting enterprise-grade infrastructure demands. Current hiring velocity indicates scaling from a small core toward a more distributed engineering organization, with a focus on senior-level talent in engineering and specialized research roles.
Core stack: RAG, Go, Python, SQL, Snowflake, Redshift, dbt, Apache Airflow, Azure OpenAI, and multi-cloud (AWS, GCP, Azure). Recently adopting OpenAI API. Full CI/CD pipeline on GitHub with Docker containerization.
Next-generation AI projects including RAG/LLM systems, data platform construction, generative AI implementations for research automation, expert-matching via AI, and RAG-based personalization for career content feeds.
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