Full-Stack Product Engineer — Real-World Dashboards & AI UX

Squad | Bowery; United States; Teletrabalho; USD 120 000 - 190 000; Tempo integral

Resumo da oferta

Squad | Bowery seeks a Full-Stack Product Engineer to turn AI/ML outputs into operator-facing apps, dashboards, and internal tools used on site in demanding environments.

You will own features end-to-end across frontend and backend, delivering high-performance UX and data-heavy interfaces for real users in the field.

The ideal candidate has 5+ years of full-stack experience, strong React/TypeScript, Python or Node.js, and data-visualization chops.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

React + TypeScript

Python/Node.js

Data Visualization (D3/Vega-Lite)

PostgreSQL/Time-series DBs

End-to-end ownership

Ferramentas

Docker

Cloud environments

CI/CD pipelines

WebGL/Three.js

Descrição da oferta de emprego

Squad | Bowery seeks a Full-Stack Product Engineer to turn AI/ML outputs into operator-facing apps, dashboards, and internal tools used on site in demanding environments.

You will own features end-to-end across frontend and backend, delivering high-performance UX and data-heavy interfaces for real users in the field.

The ideal candidate has 5+ years of full-stack experience, strong React/TypeScript, Python or Node.js, and data-visualization chops.