As a Robotics Control Systems team member, you will drive innovation and optimization in multi-robot controls, impacting the development and maintenance of our distributed intelligence system.
About this role
The AI Systems Engineer builds AI platforms and backend services for automation. Spanning AI/ML, cloud, and backend engineering, the role delivers RAG pipelines, AI agents, MCP services, and cloud-native microservices and turns stakeholder needs into dependable systems.
Work covers production architecture, infrastructure automation, CI/CD, observability, testing, rapyuta.io deployment, and improvements to performance, reliability, and operations. The engineer promotes AI-assisted engineering, mentors others, and builds interaction layers connecting natural-language intent with robotics and logistics.
Candidates need production experience delivering complex, scalable AI and backend platforms with ownership of quality and maintainability. They must shape direction, translate needs, mentor colleagues, and specialize in at least one area: production LLM, RAG, or agents; scalable microservices and event-driven cloud systems; or MLOps, model deployment, and infrastructure automation.
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