UI/UX and Full-Stack Engineer

IntBot Inc. is a humanoid robotics startup focusing on creating socially intelligent robots for various environments. They are seeking a UI/UX and Full-Stack Engineer to design and build interfaces for their humanoid robot platform, ensuring intuitive interactions for users across different applications.

Responsibilities:

• Design intuitive interfaces for configuring, monitoring, and controlling humanoid robots
• Translate complex robotic systems into simple workflows for hotel staff, operators, deployment teams, and non-technical customers
• Prototype new user experiences for fleet management, workflow customization, analytics, and live interaction oversight
• Conduct lightweight user research and iterate based on feedback from real deployments
• Establish consistent UI patterns, information architecture, and interaction standards across IntBot products
• Develop responsive web applications using React, TypeScript, and modern frontend frameworks
• Build dashboards for live robot status, transcripts, alerts, analytics, knowledge-base management, and remote control
• Create reusable components and maintain a scalable design system
• Turn prototypes into production-grade interfaces with strong attention to visual quality, usability, and performance
• Work closely with product, deployment, and engineering teams to ship features rapidly
• Build and maintain backend services, APIs, and data pipelines supporting customer-facing applications
• Develop interfaces for robot telemetry, configuration management, workflow orchestration, and operational analytics
• Connect frontend applications with cloud services, robot runtimes, and AI agents
• Design secure authentication, authorization, and multi-tenant platform capabilities
• Support features from prototype through production deployment
• Build real-time interfaces for live telemetry, command streaming, interaction monitoring, and remote intervention
• Work with WebRTC, WebSockets, and event-driven systems for robot-cloud communication
• Integrate AI capabilities such as conversational agents, multimodal perception, and contextual reasoning into user-facing products
• Improve reliability, observability, and responsiveness for systems operating in live environments