Full Stack Developer – AI, Automation & Immersive Tech

Full Stack Developer – AI, Automation & Immersive Tech | REDS™
REDS™ (Rubenius Experiential Design System) is hiring a Full Stack Developer with 1–4 years of experience to build the software, AI and hardware-integration layer behind immersive experience centres, innovation labs and phygital installations.
About REDS™
• REDS™ is the experiential technology brand of Rubenius, built on its 20+ years of experiential and workspace design.
• We design and deliver immersive experience centres, innovation labs, brand galleries and phygital installations for corporate, institutional and global clients, with teams in Bhubaneswar, Bangalore and Dubai.
• Our spaces are run by software: REDS™ OS, our proprietary control layer, drives content, displays, sensors and AI experiences across every installation.
• You will be a core engineer on that platform, owning features end to end from data model and APIs to interfaces, AI, device integration and on-site deployment.
What you'll build
• REDS™ XOS and content platform
– Multi-tenant CMS for LED walls, video walls and signage
– Media library, zone playlists and scheduling
– Offline sync and remote device management
– Analytics
• AI experiences
– Conversational 3D avatars and kiosk assistants
– Voice interfaces
– RAG over client knowledge
– Visitor analytics with computer vision
– AI agents that personalise content in real time
• Immersive installations
– Interactive touch walls and tables
– Projection mapping
– Gesture and motion-tracked experiences
– AR / VR / MR showcases
– Real-time 3D in the browser and in game engines
• IoT and hardware integration
– Connecting sensors, cameras, RFID/NFC, beacons, lighting, relays and media players to REDS™ OS
– Show control that syncs AV, lighting and content in a space
• Automation
– Workflow and show-control automation
– Scheduled and event-driven triggers
– Device health monitoring and alerting
– Internal ops tooling
Key responsibilities
• Build and ship full-stack features on REDS™ XOS, from database schema and APIs to responsive React / Next.js dashboards and on-screen experiences.
• Design and build AI applications: LLM integrations (OpenAI, Gemini, Claude), RAG pipelines, AI agents and tool calling, speech-to-text / text-to-speech voice experiences, and computer-vision features.
• Build immersive front ends: interactive touch and gesture apps, WebGL / Three.js scenes, and content for Unity or Unreal Engine installations.
• Integrate IoT devices and hardware with the platform over MQTT, WebSockets, REST, serial, OSC, DMX / Art-Net or Modbus; write device-side code on Raspberry Pi, ESP32 or Arduino where needed.
• Build automation: event-driven workflows, show-control sequences, scheduled content, and device monitoring with alerts.
• Build real-time, offline-first systems that keep running when a venue's network drops, then sync when it returns.
• Containerise services with Docker, run CI/CD, and deploy to cloud (AWS) and to edge devices on site.
• Turn designs from our Creative and Experience Design teams into pixel-accurate, performant interfaces for screens of every size, from mobile to multi-panel LED walls.
• Go on site for installation, integration testing and commissioning of experience centres.
• Work in Agile sprints with designers, project managers and clients; write clear technical notes and review code.
Must-have skills
• Languages
– JavaScript (ES6+)
– TypeScript
– Python
– HTML5
– CSS3
• Frontend
– React.js
– Next.js
– Tailwind CSS
– State management (Zustand, Redux or Context API)
• Backend
– Node.js
– Express.js or FastAPI
– REST API design
– WebSockets / Socket.io
– JWT and role-based access control
• Databases
– PostgreSQL and MongoDB
– An ORM such as Prisma
– Redis
• AI
– At least one LLM API used in a shipped project
– Working knowledge of prompt design, RAG and embeddings
• DevOps
– Docker
– Git
– CI/CD (GitHub Actions or GitLab CI)
– AWS (EC2, S3, Lambda) or similar cloud
• Ways of working
– Agile sprints
– Jira or similar
– Code reviews
– Building from Figma designs
Specialist skills
We look for real depth in at least two of these areas. Tell us which ones in your application.
• AI applications
– LangChain or LlamaIndex
– AI agents and tool/function calling
– MCP
– Vector databases (Qdrant, Pinecone, pgvector)
– Speech AI (Whisper, ElevenLabs, Vapi, Azure Speech)
– Computer vision (OpenCV, MediaPipe, YOLO)
– Running local models (Ollama) on edge hardware
• Automation
– n8n, Make or Zapier
– Workflow engines (Camunda, Temporal)
– Queues and schedulers (BullMQ, RabbitMQ, cron)
– Python scripting
– Device monitoring and alerting
• Immersive applications
– Three.js / React Three Fiber, WebGL
– Unity (C#) or Unreal Engine
– WebXR, AR / VR / MR headsets
– Touch and multi-touch apps
– Gesture and depth sensing (Kinect, Leap Motion, Intel RealSense)
– TouchDesigner
– Projection mapping (Resolume, MadMapper)
• IoT and hardware integration
– MQTT, Node-RED
– Raspberry Pi, ESP32 / Arduino
– Sensors (PIR, proximity, LiDAR)
– RFID / NFC and BLE beacons
– Serial / RS-232, OSC, DMX / Art-Net lighting, Modbus
– Digital signage players (BrightSign, Android / Tizen / webOS displays)
– Edge-to-cloud sync
• Real-time and mobile
– Socket.io, WebRTC
– React Native
– Offline-first design (service workers, local-first sync)
Experience and qualificatio

Work arrangement
No