Fullstack Product Engineer

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.

Development of client-facing applications across multiple engagements

Platform interfaces and operational dashboards

Data visualization components (drill data, sensor streams, simulation outputs)

Integration between AI/ML backends and frontend applications

Demo environments and technical artifacts for business development

Internal tooling (automation, knowledge systems, workflow tools)

Performance and reliability in production environments

5+ years of full-stack engineering experience, with strong frontend expertise

Experience building internal tools or operator-facing applications (non-consumer)

Background working with data-intensive interfaces (dashboards, data grids, visualization-heavy UIs)

Experience in small teams with end-to-end ownership of features

Frontend: React + TypeScript (advanced level), writing clean and maintainable component-based code

Backend: Python (FastAPI or similar) or Node.js

Data Visualization: Experience with D3.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

Strong UX awareness, with the ability to distinguish between functional and high-quality user experiences

Comfortable working with ambiguity and bringing clarity through prototyping rather than excessive specification

Ability to balance speed and quality, knowing when to prioritize each

Curiosity for the domain and interest in understanding how end users interact with the tools

Opportunity to build applications used in real-world, high-impact environments

Close collaboration with domain experts

End-to-end ownership of applications, from architecture to deployment

Greenfield development environment with no legacy constraints at the start