IoT & Wearables Integration Engineer (Smart Home & Agentic AI)

Job Title: IoT & Wearables Integration Engineer (Smart Home & Agentic AI)
Department: Engineering / Smart Home & AI Infrastructure
Location: Dubai, UAE (On-Site)
Employment Type: Full-time

About the Client

Our client is a Dubai-based real estate and hospitality developer building technology-led living environments. They are known for combining design, innovation and longevity-focused thinking. Their mission is to create homes that anticipate and adapt to the people who live in them. They are now expanding their engineering team to build an AI-driven smart home ecosystem.

About the Role

We are building an Agentic Home Framework: a next-generation smart home ecosystem that doesn’t just react to voice commands, but actively anticipates, adapts and responds to human biometrics and presence in real time.

We are seeking a seasoned IoT & Wearables Integration Engineer to bridge the gap between human biological data and spatial intelligence. You will lead the architecture and integration of health data pipelines (wearables, platforms and health APIs) alongside localised micro-location technologies (Bluetooth triangulation, Wi-Fi sensing, presence detection, RFID and computer vision). Your goal is to stream multi-modal health and spatial signals into our AI agents, creating an environment that automatically adjusts lighting, climate, sound and routines based on the user’s physical state.

Key Responsibilities

1. Wearable & Health Platform Data Pipelines

• Design and maintain robust API/SDK integrations with major wearable platforms, including Apple HealthKit, Google Health Connect, Oura Cloud, Whoop, and unified health APIs (e.g., Terra API, Human API).
• Process, normalise and ingest continuous biometrics (HRV, skin temperature, sleep stages, stress levels, recovery scores and blood oxygen) into our real-time agentic context engine.
• Implement data anonymisation, local-first storage paradigms and strict compliance standards (HIPAA / GDPR) to safeguard sensitive health metrics.

2. Micro-Location & Spatial Sensing

• Architect ambient presence systems using Bluetooth Low Energy (BLE) RSSI / AoA triangulation, Wi-Fi CSI sensing and Ultra-Wideband (UWB) for hyper-local room tracking.
• Integrate occupancy sensors, room-level RFID tracking and optical/thermal sensors to identify user presence without requiring active user input.
• Coordinate with hardware/vision teams to integrate edge computer vision platforms (e.g., face scanners, OpenCV, depth cameras) for zero-friction identity and mood recognition.

3. Agentic Home Integration & Automation

• Translate biological signals (e.g., elevated stress, deep sleep onset, low recovery) into actionable triggers and context payloads for home automation agents via MQTT, WebSockets or gRPC.
• Build edge-friendly data reduction routines (filtering noise, handling offline buffering, calculating moving baselines using Kalman filters) to prevent signal overload on downstream home AI models.

Requirements

Requirements

Required Skills & Experience

• Experience: 4+ years of hands-on engineering experience in IoT, wearable data integration or ambient computing ecosystems.
• Health Platforms & APIs: Deep understanding of REST APIs, Webhooks, GraphQL and SDKs for Apple HealthKit, Google Health Connect, Oura, Whoop and similar health platforms.
• Spatial & Presence Tech: Practical experience with room-level tracking technologies:
• BLE triangulation / Angle-of-Arrival (AoA) / RSSI filtering
• Wi-Fi Channel State Information (CSI) sensing or UWB spatial awareness
• Passive Infrared (PIR), radar (mmWave) and RFID tracking systems
• Networking & Protocols: Strong grasp of low-power wireless protocols (BLE, Zigbee, Z-Wave, Thread, Matter) and real-time data transport (MQTT, WebSockets, gRPC).
• Programming Languages: Proficiency in Python, C/C++, Rust or TypeScript/Node.js.
• Edge Computing & Hardware: Experience with local edge gateways (e.g., Raspberry Pi, NVIDIA Jetson, ESP32, Home Assistant ecosystem) and computer vision frameworks (OpenCV, MediaPipe).

Preferred Qualifications

• Prior experience developing context engines or state machines for smart home systems (e.g., Home Assistant, Matter standard, custom AI agents).
• Familiarity with biometric signal processing, anomaly detection or circadian rhythm modelling.
• Strong background in local-first architecture and end-to-end data encryption for privacy-preserving IoT systems.

Mandatory Keywords: IoT, Wearables, Apple HealthKit, Google Health Connect, BLE, Presence Detection, MQTT, Python

Peripheral Keywords: Oura, Whoop, Terra API, Human API, Biometrics, HRV, HIPAA, GDPR, AoA, RSSI, Wi-Fi CSI, UWB, RFID, mmWave, PIR, Computer Vision, OpenCV, MediaPipe, Zigbee, Z-Wave, Thread, Matter, WebSockets, gRPC, REST API, GraphQL, Webhooks, C/C++, Rust, TypeScript, Node.js, Raspberry Pi, NVIDIA Jetson, ESP32, Home Assistant, Kalman Filter, Signal Processing, Edge Computing, Encryption

Benefits

Compensation & Benefits

• Competitive Tax-Free Salary & Equity Options: A market-leading monthly package in AED, commensurate with experience, plus equity options.
• Performance Incentives: Rewards linked to delivery outcomes and Company Internal Policy.
• Visa & Medical Insurance: Full UAE visa sponsorship and comprehensive health, vision and dental cover.
• Paid Leave: As per Company Internal Policy and UAE Labour Law.
• Annual Flight Ticket & End-of-Service Gratuity: As per UAE market practice and Labour Law.
• Top-Tier Tooling: Annual hardware and lab budget covering wearables, smart home devices and edge compute nodes.
• Autonomy & Impact: Pioneer the convergence of agentic AI, biometrics and spatial computing.