Backend AI Developer
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Backend AI Developer (Smart Home & Agentic Systems)
About the ClientOur client is a Dubai-based real estate developer building technology-led, future-ready living environments. They combine design, advanced engineering and intelligent systems to create smarter homes and communities. Innovation, local-first AI and data-driven living sit at the core of how they build. They are now establishing a specialist engineering team to bring agentic intelligence into the physical home.
Role OverviewWe are seeking a highly skilled and innovative Backend AI Developer to lead the design, development and orchestration of our next-generation agentic smart home platform. In this role, you will bridge the gap between physical smart home hardware, modern local data lakes, and cutting-edge local and cloud AI models. You will be responsible for creating autonomous, context-aware digital twins and agentic assistants that make spaces truly intelligent.
If you are passionate about local-first AI, edge computing, smart home automation, and rapid prototyping workflows using modern AI-augmented coding tools, this role is designed for you.
Technical Stack & Ecosystem- AI & Agents: OpenClaw, Nous Hermes (LLMs), ElevenLabs (voice synthesis), vision frameworks (OpenCV, Vision LLMs), Claude, Cursor, Ollama, LMStudio, OpenCode
- Smart Home: Home Assistant (custom integrations, Assist pipeline, WebSocket APIs, AppDaemon)
- Languages: Python (core backend), React JS (dashboard and control interfaces), TypeScript
- Data Engineering: DuckDB, Apache Parquet (local analytical data lakes)
- Infrastructure: Docker, Proxmox VE (LXC, VM provisioning, GPU passthrough), Linux systems
1. AI & Agentic Orchestration
- Design, deploy and refine multi-agent systems using frameworks like OpenClaw and open-source models like Hermes, running locally via Ollama or LMStudio.
- Integrate multi-modal vision frameworks (e.g., OpenCV, vision-capable LLMs) to process security cameras, identify contextual events and generate real-time situational awareness.
- Implement lifelike, low-latency conversational voice interfaces using ElevenLabs APIs and streaming audio pipelines.
- Leverage AI-assisted coding tools like Cursor and Claude to accelerate engineering velocity and maintain high-quality code.
2. Smart Home Automation & Integration
- Build deep integrations and custom components for Home Assistant to orchestrate sensors, switches, climate control and media devices.
- Extend Home Assistant’s native Assist pipeline, or develop standalone custom agents that interact natively with the home’s state.
- Work with real-time communication protocols, including MQTT, WebSockets and HTTP REST APIs.
3. Local Data Lake & Engineering
- Architect a local, high-performance data lake using DuckDB and Parquet to ingest, store and analyze thousands of sensor data points and telemetry events.
- Implement analysis pipelines to detect anomalies, optimize energy usage and predict environmental and behavioral trends.
- Create vector databases and retrieval-augmented generation (RAG) indices to feed local, home-specific context directly into agent memory.
4. Infrastructure & DevOps
- Manage a self-hosted server environment virtualized under Proxmox VE, utilizing LXC containers and VMs.
- Containerize applications using Docker and manage multi-container orchestration.
- Configure hardware passthrough (e.g., GPU passthrough for local LLM inference, Coral USB TPU for vision processing).
5. Frontend & UI Support
- Develop clean, high-performance, responsive custom dashboards and configuration portals in React JS to visualize agent states, telemetry and system controls.
- Experience: 3+ years of professional software development experience, with a heavy focus on AI integration, backend architecture and/or IoT.
- Agentic System Expertise: Proven track record of building autonomous systems (multi-agent orchestration, tool-use/function-calling, RAG and memory management).
- Core Languages: Deep expertise in Python (asyncio, FastAPI, Pydantic) and comfort with React JS for building functional user interfaces.
- Infrastructure Mindset: Strong competency in self-hosting, Linux administration and virtualization using Docker and Proxmox VE.
- Data Savvy: Experience working with modern analytical file formats (Parquet) and databases (DuckDB) for high-performance data processing.
- AI Tooling Fluent: Active user of AI-augmented development environments (Cursor, Claude, OpenCode tools) t