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ResiQuantAI is hiring a
Backend Product Engineer
About ResiQuantAI
ResiQuant is a mission-driven startup building the future of property risk intelligence—where every building can be accurately assessed for disaster resilience, at scale. We’re solving one of the toughest problems in climate risk: the lack of reliable, standardized, and dynamic data on the built environment. Our work is critical in a world where wildfires, earthquakes, and hurricanes are escalating in frequency and impact. Empowering insurers, financial institutions, and asset managers, our AI-powered systems combine cutting-edge machine learning with deep structural engineering expertise. The result: precise, actionable insights that close critical data gaps and drive smarter decisions.
Job Description
Architect and maintain backend systems that support AI-driven property risk intelligence at enterprise scale. Own end-to-end development of backend features, from design through deployment. Design and implement scalable APIs, data pipelines, and model-integrated services to deliver real-time, high-reliability insights used by Fortune 500 insurers. Collaborate cross-functionally with engineering, product, and customer stakeholders to build and iterate on impactful features. Ensure backend systems are observable, reliable, performant, and ready for production at scale. Evaluate user and customer feedback to inform product iterations and backend improvements. Minimum of 3 years of backend engineering experience with ownership of production systems. Hands-on experience developing in modern backend stacks (Python experience is a plus). BS or above in Computer Science/Engineering and at least three years of applicable industry experience.Location
San Francisco, CA, US
Salary
Not Specified
Benefits
Not Specified
