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Huspy is one of the leading property technology companies in EMEA.
Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered.
We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.
We’ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone.
We’re not slowing down. The question is: will you be part of what’s next?
The Main Event: What You’ll Drive, Build, and Own
- Design AI-first systems & services: Architect and implement Python-based services for ML/AI models, ensuring reliability, scalability, and seamless integration into Huspy’s platform.
- Enable market insights: Build pipelines to process large-scale market data.
- Power recommendations & retrieval engines: Develop retrieval systems (vector databases, embeddings) to recommend the best property matches for customers—including use cases like processing and interpreting voice notes.
- Lead qualification & productivity tools: Work on AI-powered lead qualification systems (e.g., automated AI calls) to enhance agent productivity.
- Operationalize ML/AI: Build infrastructure for training, deploying, monitoring, and scaling models in production (batch & real-time).
- Collaborate cross-functionally: Work with Product, Data, and Engineering teams to deliver AI solutions aligned with Huspy’s business goals.
- Strong experience coding in Python (backend/data/ML/AI systems).
- Proven track record in AI infrastructure & cloud deployment (AWS/GCP/Azure).
- Experience building production ML/AI systems with modern frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
- Understanding of agentic frameworks (e.g., LangChain, LlamaIndex, or equivalents) and orchestration tools.
- Experience with data processing frameworks & pipelines (Airflow, Prefect, Spark, etc.).
- Knowledge of vector databases & retrieval systems (e.g., Pinecone, Weaviate, Milvus, FAISS).
- Strong background in system design & architecture for high-scale AI services.
- Experience with speech-to-text, NLP, and voice AI for customer interaction.
- Exposure to real estate, fintech, or proptech domains.
- Contributions to open-source AI/ML frameworks.
Key Skills
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