Frontend Engineer - Real-Time Weather & Geospatial AI

Attis; Denver (CO); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Attis is seeking a Frontend Software Engineer to build real-time weather and climate SaaS interfaces. You’ll work with TypeScript, React, Mapbox/MapLibre and frontier AI tools to ship features quickly while maintaining quality.

The role emphasizes cross-functional collaboration with data scientists, API engineers, product managers, and designers. You will own frontend components from prototype to production, crafting intuitive spatial interfaces that handle live data, forecast uncertainty, and

Qualifications

• 3+ years of production frontend software experience.
• Weather/geospatial domain experience with live asset tracking, geofencing, or route visualization.
• Experience handling forecast data, uncertainty, geographic coordinates, and large spatial or time-series datasets.
• Production fluency with frontier AI models and agentic coding tools.
• Based in the Denver, CO area (hybrid model, 3 days/week in-office).

Responsibilities

• Build operational weather platforms with live asset tracking, maps, time-series views, and alert dashboards.
• Manage complex workflows: asset routes, weather exposure, alert thresholds, and real-time triggers.
• Translate complex live geospatial datasets into crystal-clear UI (handling forecast uncertainty & coordinates).
• Synchronize maps, tables, charts, and detail views seamlessly as live spatial data updates.

Skills

TypeScript

React

Mapbox/MapLibre

Agentic AI

Geospatial data

Tools

Claude Code

Codex

Job description

Attis is seeking a Frontend Software Engineer to build real-time weather and climate SaaS interfaces. You’ll work with TypeScript, React, Mapbox/MapLibre and frontier AI tools to ship features quickly while maintaining quality.

The role emphasizes cross-functional collaboration with data scientists, API engineers, product managers, and designers. You will own frontend components from prototype to production, crafting intuitive spatial interfaces that handle live data, forecast uncertainty, and