AI Systems Engineer

**About the company:** Rapyuta Robotics Koto-ku, Tokyo Building low­ cost, lightweight autonomous mobile robots with high-level intelligence distributed in the cloud, and enabling such robots to offload some of their heavy computation and seamlessly learn and share experiences with one another. **Responsibilities:** AI Systems Development & Innovation : Design and develop scalable AI platforms and backend systems including RAG pipelines, AI agents, MCP services, and cloud-native microservices; drive innovation by exploring and adopting emerging AI/ML technologies, and act as an advocate for AI assisted engineering & operations by driving adoption and popularization of advanced AI capabilities across teams and products. System Delivery & Collaboration : Seek the needs and opportunities to deliver clear technical solutions, collaborate with cross-functional and global stakeholders, ensure reliable delivery of scalable AI applications, and continuously improve performance, maintainability, and operational efficiency across systems and workflows. Technical Architecture & Engineering Excellence : Contribute to system architecture, infrastructure automation, and engineering best practices across cloud platforms, operations, CI/CD, observability, testing, and rapyuta.io deployments; promote high standards in scalability, reliability, and long-term platform sustainability. Requirements Experience designing and delivering complex, scalable AI and backend platforms with quality, reliability, and long-term maintainability in production environments. Strong ownership mindset with the ability to shape product and technical direction through collaboration, clear communication, empathy, and sound engineering judgment. Expected to translate stakeholder needs into effective solutions while mentoring others, sharing feedback, and elevating team capability. Specialization in and passion for AI Systems Engineering, including one or more areas: AI/ML Systems & Agents: Production-grade LLM applications, RAG pipelines, AI agents, or multi-agent orchestration systems beyond experimental use cases. Backend & Distributed Systems: Delivered scalable microservices and event-driven architectures supporting high-volume, low-latency workloads in cloud environments. ML Ops & AI Infrastructure: Designed and operated ML pipelines, model deployment systems, and infrastructure automation using modern DevOps and cloud-native tools, ensuring reliability, observability, and cost efficiency. Nice to haves While not specifically required, tell us if you have any of the following. Experience in logistics, robotics, or other complex distributed system domains is highly beneficial. APPLY FOR THIS POSITION DO YOU NEED MORE INFO? ASK A QUESTION About Rapyuta Robotics Rapyuta Robotics Koto-ku, Tokyo Building low­ cost, lightweight autonomous mobile robots with high-level intelligence distributed in the cloud, and enabling such robots to offload some of their heavy computation and seamlessly learn and share experiences with one another. Key benefits Open, inclusive, safe environment There's always something to learn Relocation support Read more More jobs like this We'll send you a digest of new English-friendly software developer jobs in Japan. Your email stays private, we don't share or sell it. Apply for this position × I have a favour to ask. When you apply to Rapyuta Robotics, please tell them that you heard about the position on TokyoDev . This helps to keep this job board sustainable, so I'd be grateful for your support with this. - Paul, Founder of TokyoDev Continue applying © 2026 Privacy Policy **Requirements:** Experience designing and delivering complex, scalable AI and backend platforms with quality, reliability, and long-term maintainability in production environments. Strong ownership mindset with the ability to shape product and technical direction through collaboration, clear communication, empathy, and sound engineering judgment. Expected to translate stakeholder needs into effective solutions while mentoring others, sharing feedback, and elevating team capability. Specialization in and passion for AI Systems Engineering, including one or more areas: AI/ML Systems & Agents: Production-grade LLM applications, RAG pipelines, AI agents, or multi-agent orchestration systems beyond experimental use cases. Backend & Distributed Systems: Delivered scalable microservices and event-driven architectures supporting high-volume, low-latency workloads in cloud environments. ML Ops & AI Infrastructure: Designed and operated ML pipelines, model deployment systems, and infrastructure automation using modern DevOps and cloud-native tools, ensuring reliability, observability, and cost efficiency. **Nice to have:** While not specifically required, tell us if you have any of the following. Experience in logistics, robotics, or other complex distributed system domains is highly beneficial. APPLY FOR THIS POSITION DO YOU NEED MORE INFO? ASK A QUESTION About Rapyuta Robotics Rapyuta Robotics Koto-ku, Tokyo Building low­ cost, lightweight autonomous mobile robots with high-level intelligence distributed in the cloud, and enabling such robots to offload some of their heavy computation and seamlessly learn and share experiences with one another. Key benefits Open, inclusive, safe environment There's always something to learn Relocation support Read more More jobs like this We'll send you a digest of new English-friendly software developer jobs in Japan. Your email stays private, we don't share or sell it. Apply for this position × I have a favour to ask. When you apply to Rapyuta Robotics, please tell them that you heard about the position on TokyoDev . This helps to keep this job board sustainable, so I'd be grateful for your support with this. - Paul, Founder of TokyoDev Continue applying © 2026 Privacy Policy