Senior Full Stack Engineer: Real-Time Data Viz for AI Lab

Radical AI

New York (NY)

On-site

USD 140,000 - 210,000

Full time

3 days ago
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Benefits offered by this job

Equity
Benefits
Collaborative AI research environment

Job summary

Radical AI in New York seeks a mid-level to senior Full Stack Engineer to build software powering materials discovery, from scientist-facing interfaces to backend services. You will focus on frontend development with Svelte/SvelteKit, craft data visualizations for scientific research, and ship features end-to-end while collaborating with product managers.

You’ll extend a Go backend Cortex via RPC, evolve protobuf schemas, and work with MongoDB.

Qualifications

  • 4+ years of professional frontend development with TypeScript, HTML, CSS (Tailwind preferred).
  • Strong experience with modern frontend frameworks and reactive state management (Svelte/SvelteKit preferred).
  • Experience building data-rich web apps with data visualization.

Responsibilities

  • Build frontend data-rich web applications using Svelte and SvelteKit.
  • Implement UI from Figma designs with attention to detail.
  • Create data visualizations for scientific research and analysis.
  • Architect frontend systems for async data loading and real-time updates.
  • Integrate frontend with AI agents and real-time lab state streams.
  • Extend Cortex Go backend with new RPC endpoints and protobuf schemas.
  • Own features end to end across schema, service, API and UI.
  • Write tests and contribute to CI/CD pipelines.

Skills

TypeScript
HTML & CSS
Svelte / SvelteKit
Data visualization
Realtime UI
Go backend concepts

Education

Bachelor's degree in CS or related field

Tools

Vite
ESBuild
Rollup
MongoDB

Job description

Radical AI in New York seeks a mid-level to senior Full Stack Engineer to build software powering materials discovery, from scientist-facing interfaces to backend services. You will focus on frontend development with Svelte/SvelteKit, craft data visualizations for scientific research, and ship features end-to-end while collaborating with product managers.

You’ll extend a Go backend Cortex via RPC, evolve protobuf schemas, and work with MongoDB.

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