AI Summary
Craft data-rich interfaces and visual tools for our intelligent operations platform. Build dynamic dashboards, geospatial visualizations, and AI-augmented UIs. Collaborate with backend and AI teams to ensure smooth data integration and performance optimization.
Key Highlights
Build interactive dashboards for live time-series data
Develop advanced map layers and responsive components
Implement frontends that respond dynamically to natural-language prompts
Technical Skills Required
Benefits & Perks
Fully remote work
GitHub-centric workflows
High security and performance standards
Job Description
Reports to: Engineering Lead
Type: Full-Time
About The Company
We build human-guided intelligence (HGI) for real-time operations: intelligent agents embedded in dashboards and conversational UIs that are responsive, geospatially aware, and integrated with live sensor data. Agents assist with forecasting, alarm analysis, knowledge lookup, and more—so operators can ask natural-language questions and see the system zoom, highlight, and respond in context. The platform is modular and extensible for new agent types and data sources.
About The Role
We’re seeking a Frontend Developer to craft data-rich interfaces and visual tools that power our intelligent operations platform. You’ll build dynamic dashboards, geospatial visualizations, and AI-augmented UIs that enable operators to interact naturally with real-time data. This is a key opportunity to shape how humans collaborate with AI in high-impact, time-sensitive environments.
Key Responsibilities
- Data Visualization & Dashboards: Build and scale interactive dashboards for live time-series, alarms, and forecasts using frameworks like D3.js and Recharts.
- Geospatial Interfaces: Develop advanced map layers and responsive components using Mapbox or similar libraries for real-time geospatial monitoring.
- AI-Driven UI: Implement frontends that respond dynamically to natural-language prompts and JSON outputs from AI agents.
- Workflow Tools: Design and build GUI-based tools for configuring data pipelines (e.g., “Connect source → Trigger forecasting agent → Load to DB”).
- Secure Access & Authentication: Integrate authentication mechanisms (OAuth2, JWT) and coordinate with backend teams to ensure secure multi-tenant access.
- Collaboration: Work closely with backend and AI teams to ensure smooth data integration, performance optimization, and real-time responsiveness.
- Core: React / Next.js, TypeScript, Tailwind CSS
- Visualization: D3.js, Recharts, Mapbox
- Integration: AWS Amplify, REST APIs, JSON-based agent responses
- Proven experience developing responsive, real-time dashboards and visualization interfaces.
- Fluency in React / Next.js, TypeScript, Tailwind, and front-end testing frameworks.
- Strong understanding of data-driven UIs, event streams, and state management.
- Familiarity with auth flows (OAuth2/JWT) and frontend security best practices.
- Excellent collaboration skills using GitHub workflows, CI/CD pipelines, and code reviews.
- Experience with geospatial data visualization or time-series data.
- Strong UI/UX sensibility for complex, data-dense environments.
- Experience integrating LLM or AI APIs into frontend applications.
- Fully remote with GitHub-centric workflows (PRs, reviews, CI/CD).
- Expected to maintain high security and performance standards across the frontend stack.