Fullstack Product Engineer

    ~$113,680 - $211,120Market Estimate
    Remote in Argentina
    Full-Time
    Mid (3-6 yrs)
    Engineering & Development
    First posted 154 days ago

    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.

    What You’ll Own

    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

    Who You Are

    Experience

    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

    Technical Skills

    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

    Profile

    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

    What This Role Offers

    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

    Company:  Squad | Bowery

    AI-powered software delivery company providing senior-led engineering units and AI agents.
    51-200 employees
    Software & IT Services
    HQ: United States