Software Engineer - AI ML Ops

The Story So Far: We’re Building a Global Brand in Real Estate

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.