AI Engineer

About Smart Bricks

Smart Bricks is an AI-first platform transforming how real estate is bought, sold, and invested in globally. We help individuals and institutions access cross-border property opportunities through intelligent discovery, predictive pricing, and seamless execution — powered by automated valuation models (AVMs), agentic workflows, and proprietary real estate data.

Backed by leading VCs and founded by alumni of McKinsey, BCG, Property Finder, and Blackstone, Smart Bricks is scaling rapidly across the UAE, UK, and US. We’re now hiring a Senior AI Engineer to help build the future of intelligent real estate infrastructure.

Role Overview

As a Senior AI Engineer, you’ll design, deploy, and continuously improve the AI models that power Smart Bricks — from valuation engines and lead scoring to conversational agents and investment recommendations. You'll work at the intersection of machine learning, real estate data, and production systems, owning the full lifecycle from research and prototyping to scalable deployment.

You’ll collaborate closely with product managers, data scientists, and software engineers to build AI capabilities that are not only accurate, but useful, explainable, and deeply integrated into the user experience.

Key Responsibilities

• Design and build machine learning models for property valuation (AVMs), price forecasting, user intent prediction, and investment matching
• Build, fine-tune, and deploy LLM-powered tools (e.g., smart agents, deal analysis assistants, chat interfaces)
• Ingest, clean, and model structured and unstructured real estate data from multiple sources (DLD, Property Finder, UK Land Registry, etc.)
• Collaborate with engineering to productionize models and deploy via APIs and real-time services
• Conduct rigorous evaluation and iterate models based on real-world performance
• Optimize for latency, explainability, scalability, and integration into product
• Stay on top of the latest research and best practices in GenAI, recommender systems, and pricing engines
• Mentor junior engineers and contribute to setting AI best practices across the company

Preferred Tech & Tools

• Languages: Python (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, LangChain)
• Data: PostgreSQL, BigQuery, Airflow, Redis, Snowflake
• Infra: AWS, Docker, FastAPI, MLflow, Hugging Face, Ray
• ML Types: Regression, XGBoost, LLM fine-tuning, embeddings, RAG pipelines, multi-modal models
• Plus: Experience with production deployment of models in real-time environments

Qualifications

• 5+ years of experience in machine learning, data science, or AI engineering
• Proven track record of deploying models in production environments
• Strong knowledge of supervised learning, NLP, time series forecasting, and/or generative AI
• Experience working with large-scale data pipelines and model monitoring
• Familiarity with real estate, proptech, or fintech data is a strong plus
• Ability to thrive in a fast-moving, ambiguous, startup-style environment
• Excellent communication skills and ability to explain technical concepts to non-technical teams

What We Offer

• Competitive salary + significant equity package
• Greenfield AI opportunities with global real estate impact
• Access to proprietary data sets and deep vertical expertise
• High-trust, high-autonomy environment with rapid shipping culture
• Work with a world-class team from top tech, consulting, and investment firms
• Dubai HQ + remote flexibility