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

United Arab Emirates·DubaiFull-timemid

Software EngineeringIntegration Developer

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Quick Summary

Requirements Summary

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,

Technical Tools

Software EngineeringIntegration Developer

About the Role

~1 min read

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.

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.

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

~1 min read

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).

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.