Property Finder

Senior Software Engineer - AI & ML

Property Finder Dubai, United Arab Emirates 4 days ago
engineering

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region. 

Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.

About the Role:
Property Finder is looking for a Senior Software Engineer – AI & ML to build intelligent, AI-powered features and platforms that enhance both our marketplace and internal tools. You’ll work in empowered, cross-functional teams, taking ideas from inception to production with full ownership over design, implementation, monitoring, and reliability.

Key Responsibilities:

  • Design, build, and maintain AI/ML-powered full-stack applications and backend services using Python, Golang, or Node.js.

  • Productionize ML / Generative AI solutions including:

    • Retrieval-Augmented Generation (RAG) for support, content, and internal tools

    • Recommendations, ranking services, classification, quality scoring, and enrichment pipelines

  • Implement and evolve the AI/ML platform, including:

    • Feature and embeddings stores

    • Vector/semantic search infrastructure

    • Evaluation dashboards, prompt/version management, and feedback loops

  • Own services end-to-end: design, implementation, monitoring, observability, and on-call, ensuring high availability and reliability.

  • Collaborate with Product, Data Science, Data Engineering, Design, and DevOps/SRE teams to translate business problems into robust technical solutions.

  • Apply cloud-native and DevOps practices using AWS, containerization (ECS/EKS, Docker), CI/CD (GitHub Actions, Jenkins), and infrastructure-as-code.

  • Implement security, data protection, and responsible AI guardrails.

  • Participate in code reviews, define engineering best practices, and mentor engineers and data scientists.

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

  • 7+ years of professional software engineering experience, with strong backend and distributed systems exposure.

  • Proficiency in Python, Golang, or NodeJS.

  • Hands-on experience with AI/ML or GenAI in production, including: transformer models, RAG pipelines, semantic search, and vector databases (e.g., Pinecone, Weaviate, Milvus, OpenSearch).

  • Familiarity with MLOps practices: model deployment, CI/CD for ML, monitoring model performance and data drift.

  • Strong understanding of cloud architecture, DevOps, relational and NoSQL databases, observability (metrics, logs, traces, dashboards, alerts).

  • Self-motivated, proactive, and passionate about clean, maintainable code and turning AI/ML ideas into reliable, user-facing products.

  • Experience mentoring junior engineers and contributing to team growth.

Our promise to talent

At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.

Property Finder Guiding Principles

  1. Think Future First
  2. Data Beats Opinions, Speed Beats Perfection
  3. Optimise for Impact
  4. No Ostriches Allowed
  5. Our People, Our Power
  6. The Biggest Risk is Taking no Risk at All
 

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