Staff Frontend Engineer — AI-Driven Grid Visualization

Tapestry; Mountain View, San Francisco, New York (CA, CA, NY); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Competitive salary and equity

Medical, dental, and vision coverage

Generous PTO and flexible hybrid work

Job summary

Tapestry is hiring a Staff Frontend Engineer to define the architectural vision for visualizing the electric grid and AI-powered interfaces. You will lead the technical roadmap for web platforms, bridging complex power-system AI with intuitive, high-performance user experiences that support trillion-dollar decisions.

You will guide the frontend evolution for real-time geospatial data visualization, set standards for state management and testing, and mentor the team to craft robust, scalable, and

Qualifications

• 10+ years of frontend or fullstack engineering leading complex platforms.
• Experience with enterprise apps using LLMs or predictive ML models.
• Strong TS/JS skills and modern frameworks like React/Angular.
• Ability to design human-in-the-loop AI-assisted UX for high-stakes decisions.

Responsibilities

• Define architectural vision for frontend platforms handling massive real-time data.
• Lead the technical roadmap and establish engineering best practices.
• Architect agentic workflows and ML-powered interfaces for proactive decisions.
• Mentor engineers, perform code reviews, and elevate craftsmanship.
• Collaborate with AI Research and Power Systems teams to translate outputs into UX.

Skills

TypeScript

React

Angular

Frontend architecture

LLMs / AI in frontend

Geospatial visualization

Real-time data handling

Human-in-the-loop

Agentic interfaces

Code reviews / mentorship

Tools

WebGL

Canvas

Job description

Tapestry is hiring a Staff Frontend Engineer to define the architectural vision for visualizing the electric grid and AI-powered interfaces. You will lead the technical roadmap for web platforms, bridging complex power-system AI with intuitive, high-performance user experiences that support trillion-dollar decisions.

You will guide the frontend evolution for real-time geospatial data visualization, set standards for state management and testing, and mentor the team to craft robust, scalable, and