Senior AI Systems Engineer Agentic And Smart Home

The Greater Change; Dubai; On-site; AED 420,000 - 640,000; Full time

Benefits offered by this job

Visa & Medical Insurance

Annual Flight Ticket

Learning & Career Growth

Paid Leave

Job summary

The Greater Change is seeking a Senior AI Systems Engineer in Dubai to lead development of autonomous agentic systems. You will bridge high-level orchestration with low-level infrastructure, integrating AI tools and local data architectures within a security-conscious, privacy-first setup.

You will work across AI agents, smart home IoT, and data infrastructure, delivering end-to-end solutions with React dashboards and Python services.

Qualifications

• Hands-on with OpenClaw, Hermes Agentic OS, LangChain/LangGraph, AutoGPT.
• Experience with Home Assistant, ESPHome, MQTT and Zigbee/Z-Wave.
• Proxmox, Docker and Linux SysAdmin; Kubernetes is a plus.
• Proficiency in Python, React and TypeScript.

Responsibilities

• Design autonomous agentic workflows and AI orchestration.
• Develop deep Home Assistant integrations and smart-home automations.
• Architect and maintain high-performance Data Lakes and local compute infra.
• Build responsive dashboards and robust backend services connecting AI, data and IoT.

Skills

Python

TypeScript

React JS

Home Assistant

Docker

Proxmox

OpenClaw

Hermes Agentic OS

LangChain

LLM tooling

DuckDB

Tools

Proxmox

Docker

Kubernetes

Job description

Job Description:

About the Company

Our client is a Dubai-based real estate and hospitality developer, creating design-led destinations at the intersection of technology and wellbeing. They are building intelligent living environments where AI, automation and thoughtful design work together as one system. Technology is a core pillar of their strategy, supported by a growing in-house engineering function. This is an opportunity to shape that foundation from an early stage.

Role Overview

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.

Key Responsibilities

1. 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.

2. 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.

3. 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.

4. 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 Labour Law.
• Annual Flight Ticket & End‑of‑Service Gratuity: As per UAE market practice and Labour 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.