Data & AI Infrastructure Engineer

About UsAllegiance Real Estate is one of Dubai's fastest-growing real estate companies, combining innovation, technology, and exceptional customer experience to redefine modern real estate.We're building an AI-powered platform designed to help agents and investors make faster, smarter decisions through data and intelligent automation. As we continue expanding our AI capabilities, we're looking for engineers who enjoy solving complex data challenges at scale.Role OverviewYou will own this layer end to end — designing the pipelines, the warehouse architecture, and the API integrations that turn raw, messy, multi-source data into clean, reliable infrastructure our AI systems can build on. You'll work directly alongside our AI engineering lead, architecting how data flows from source to model, not just moving it from A to B.What You'll Actually Be DoingDesign and build the ingestion pipelines for live market data sources across multiple regions pricing indices, transaction feeds, rental yield benchmarks — each market bringing its own provider, schema, and data formatArchitect our PostgreSQL + pgvector data warehouse to scale cleanly from 1 to 50+ markets, each with different schemas, currencies, and data freshness requirementsBuild the API integration layer connecting Alpha to a growing list of external data providers, internal tools, and third-party services — designing for reliability, not just "it works once"Transform raw market data into structured chunks ready for RAG retrieval — partnering directly with our AI engineer to ensure what gets embedded is actually useful, accurate, and currentBuild monitoring and alerting for data pipeline health — freshness, completeness, schema drift so AI failures caused by bad data get caught before they reach a userOwn infrastructure decisions around scaling — when to introduce caching, queuing (Celery/Redis), or a proper ETL framework as data volume growsWork as a technical peer to our AI engineer — you own the data and infrastructure layer, they own the AI/retrieval layer, and you build the connective architecture togetherWhat We're Looking ForStrong experience designing and operating production data pipelines — not just SQL queries, but the architecture of ingestion, transformation, and storage at scaleHands-on experience with PostgreSQL and ideally pgvector, or comparable vector-capable data storesReal experience integrating multiple third-party APIs reliably — handling rate limits, auth, retries, and data quality validationComfort with Python for pipeline development; familiarity with task queues (Celery, Redis) or workflow orchestration tools is a strong plusUnderstanding of how AI/RAG systems consume data — you don't need to build the models, but you need to understand what "good input" looks like for retrieval and embeddingExperience designing for multi-region or multi-currency systems is a strong plus, given our international franchise roadmapComfort working in a fast-moving startup environment — you'll be making real architecture decisions early, not following someone else's spec What We OfferFull ownership of the data and infrastructure layer for a live AI product already in production your architecture decisions shape what's possible for the entire platformDirect partnership with our AI engineering lead — two senior technical hires building the brain of the company togetherWork alongside a small, senior team with direct access to leadership and fast decision-making no layers of bureaucracy between your idea and shipping itCompetitive compensation with meaningful growth as the platform and team scale internationally