AI Systems Engineer

Rapyuta Robotics, an ETH Zurich spin-off, operates with the goal of making robots more accessible to anyone in the logistics industry. Rapyuta Robotics seeks individuals who believe collaboration drives better and more sustainable outcomes, and who are fearless in challenging boundaries to create meaningful impact through technology.  As an AI Systems Engineer, you will design and scale enterprise AI platforms and backend systems powering intelligent automation and large-scale workflows. You will work across AI/ML, cloud infrastructure, and backend engineering to build scalable solutions including RAG pipelines, AI agents, MCP services, and cloud-native microservices, while collaborating with global stakeholders to turn business needs into reliable technical solutions.  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.