Fullstack Product Engineer

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Description

The Role Mining operators don’t use Jupyter notebooks. They rely on dashboards, interfaces, and tools that run on tablets underground, on laptops at surface, and in control rooms operating under extreme conditions. You will build those systems. As a Full-Stack Product Engineer, you will take the output from AI and ML teams and turn it into usable, high-impact applications for real users in the field. This includes operator-facing applications, data-intensive dashboards, and internal tools that support operations. This is not a typical startup “full-stack” role. You will be building complex, domain-specific software for expert users who expect high performance and excellent UX. js, Vega-Lite, Recharts, or similar (building custom visualizations, not just using libraries) Databases: PostgreSQL and/or time-series databases (InfluxDB, TimescaleDB), or vector databases Deployment: Docker, cloud environments, CI/CD pipelines Nice to have WebGL or Three.js for 3D visualizations Pro

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