Founding engineer to own the algorithmic core — pricing models, automated valuation, and AI-driven risk analysis for real estate. Armenia, Oman, UAE or Turkey, with relocation and ESOP.
ArgusRecruit is recruiting on behalf of an international AI proptech company on a confidential basis. Our client is automating property valuation and risk management for real estate markets — replacing legacy tools with AI-driven pricing models, automated valuation systems, and risk assessment built on MLS, transactional, and geospatial data.
This is a founding engineering role at the intersection of software engineering, mathematics, and machine learning. The successful candidate will own the algorithmic core of the product — comparable property analysis, automated valuation models, price prediction, and AI-driven financial analysis. This is not a research-only role; it is for a builder who thinks in math and ships production systems.
The role provides full relocation support including visa, residency, and legal handling. Remote arrangements may be considered for exceptional candidates in compatible time zones.
Responsibilities
- Design and implement pricing models, automated valuation models (AVM), and risk-scoring systems for residential and commercial real estate
- Build end-to-end ML pipelines from data ingestion through training to production model serving
- Work with diverse real estate data — MLS listings, property attributes, image features, transaction history, geographic and demographic signals — to extract actionable predictions
- Translate product and market requirements into algorithmic solutions in close collaboration with the founding team
- Contribute to system architecture decisions across the full stack, not just the ML layer
- Establish evaluation methodology and rigorous statistical validation for production models
- Ship reliable, production-grade code with clean engineering hygiene — not throwaway notebooks
Requirements
- 3+ years building real software in production — not just research prototypes
- Strong software engineering foundation: clean, maintainable, production-grade code
- Deep intuition for mathematics and statistics — probability, linear algebra, optimization, and statistical modeling are core to the work
- Python mastery plus at least one systems language (Rust, Go, or C++)
- Hands-on experience with ML frameworks (PyTorch, scikit-learn, XGBoost)
- Demonstrated algorithmic problem-solving ability — competitive programming, research publication, or systems where the algorithm is the product
- Comfort with ambiguity and ability to define the problem, not only solve a specified one
- Fluent English communication
Nice to Have
- Academic background in physics, applied mathematics, or quantitative finance
- Experience with geospatial data, time series modeling, or financial modeling
- Published research or significant open-source contributions in ML or statistics
- Prior work at an early-stage startup or building a product from zero
- Familiarity with US or European real estate data sources (MLS, public records, valuation datasets)
- Background that combines theoretical depth with practical shipping ability — the Anthropic / xAI archetype