Build AI platform infrastructure and developer tooling, including API gateways, model routing, integrations, observability, retrieval, caching, and model-serving systems. Develop APIs, microservices, SDKs, and internal tools that connect proprietary real estate data and AI models to production applications. Collaborate with ML engineers, contribute to architecture decisions, and own features through deployment and monitoring.

Build, test, and maintain batch and event-driven data pipelines and ETL/ELT workflows. Transform and validate large datasets, troubleshoot data-quality issues, improve workflow reliability, and support platform modernization. Collaborate with engineering, product, and data stakeholders while following strong practices for version control, testing, monitoring, documentation, and code review. The role may occasionally require work outside standard business hours.