About the Role
We are seeking a highly skilled and versatile Senior AI Systems Engineer to lead the development of next-generation Agentic Ambient Intelligence systems. This role sits at the intersection of Autonomous AI Agents, Smart Home Automation, and Local-First Infrastructure. You will architect and deploy autonomous systems that can reason, plan, and act within a physical environment (via Home Assistant), while leveraging state-of-the-art AI tooling and data architectures. The ideal candidate is comfortable moving between high-level agentic orchestration and low-level infrastructure management.
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Key Responsibilities
- Agentic Systems & AI Orchestration
- Design and implement autonomous agentic workflows using frameworks such as OpenClaw and Hermes Agentic OS.
- Develop multi-agent systems capable of self-improvement, tool use, and complex reasoning.
- Integrate Vision frameworks and Voice AI (ElevenLabs) to create immersive, multimodal interaction layers.
- Leverage cloud and local AI tooling (Cursor, Claude, Ollama, LMStudio, OpenCode) to accelerate development and deployment.
- Smart Home & IoT Integration
- Build deep integrations between AI agents and Home Assistant (or equivalent frameworks) to enable physical-world actions.
- Develop custom components and automations that transform a “connected home” into a truly “intelligent home.”
- Ensure low-latency, privacy-first communication between local agents and IoT devices.
- Data Engineering & Infrastructure
- Architect and maintain high-performance Data Lakes using DuckDB and Parquet for agent memory and analytical processing.
- Manage local compute environments using Proxmox for virtualization and Docker for containerized service orchestration.
- Optimize infrastructure for running local LLMs and vision models efficiently.
- Fullstack Development
- Develop responsive and intuitive dashboards using React JS for system monitoring and manual intervention.
- Write robust, scalable backend services in Python to connect the AI, data, and IoT layers.
Technical Requirements
The ideal candidate will have hands-on experience with AI agent frameworks such as OpenClaw, Hermes Agentic OS, LangChain/LangGraph, and AutoGPT, and will be comfortable using AI tooling including Cursor, Claude, Ollama, LMStudio, and OpenCode. Specialized AI expertise is expected in ElevenLabs (Voice), Vision-Language Models (VLM), and RAG.
On the smart home and IoT side, the role requires strong knowledge of Home Assistant, ESPHome, MQTT, and Zigbee/Z-Wave. In infrastructure, candidates should be proficient in Proxmox, Docker, and Linux SysAdmin, with Kubernetes as an optional skill.
For languages, Python (Expert), React JS (Proficient), and TypeScript are required. In data architecture, the role calls for experience with DuckDB, Apache Parquet, and Vector Databases (Chroma/Pinecone).
Mandatory Keywords: AI Agents, LLM, Python, Home Assistant, RAG, Docker, Proxmox, React
Peripheral Keywords: OpenClaw, Hermes Agentic OS, LangChain, LangGraph, AutoGPT, Multi-Agent Systems, Cursor, Claude, Ollama, LMStudio, OpenCode, ElevenLabs, Voice AI, Vision-Language Models, ESPHome, MQTT, Zigbee, Z-Wave, Kubernetes, Linux, TypeScript, DuckDB, Apache Parquet, ChromaDB, Pinecone, Local-First AI, Homelab, Open Source
Preferred Qualifications
- Proven track record of building and deploying Autonomous Agents in production or advanced homelab environments.
- Strong understanding of Local-First AI principles and privacy-centric system design.
- Experience with multi-modal RAG (Retrieval-Augmented Generation) involving structured and unstructured data.
- Active contributor to open-source projects in the AI or Smart Home space.
Why This Role?
This is not a traditional backend role. You will be at the forefront of the Agentic Revolution, building systems that don’t just “respond” but “act.” If you are passionate about Proxmox clusters, Python-driven agents, and the future of ambient intelligence, we want to hear from you.
What We Value
- Portfolio Focus: We highly value candidates who can demonstrate a working “Smart Home Brain” or a custom agentic tool built on OpenClaw/Hermes.
- Continuous Learning: The AI landscape changes weekly. We expect you to be an early adopter of new tools like OpenCode and new model families.
- System Resilience: Given the infrastructure requirements (Proxmox/Docker), a “DevOps mindset” regarding system uptime and data integrity is crucial.
Compensation & Benefits
- Competitive Tax-Free Salary: A market-leading monthly package in AED, commensurate with experience.
- Performance Incentives: Rewards linked to quality and delivery outcomes, as per Company Internal Policy.
- Visa & Medical Insurance: Full UAE visa sponsorship and comprehensive health cover.
- Paid Leave: As per Company Internal Policy and UAE Labor Law.
- Annual Flight Ticket & End-of-Service Gratuity: As per UAE market practice and Labor Law.
- Top-Tier Tooling: Modern hardware, a real homelab environment, and leading AI tooling.
- Learning & Career Growth: Certification and conference support, with a clear path to leadership.
- Autonomy & Impact: Shape how AI agents act within the physical world.
