Full-Stack Engineer: Real-Time Data UI (Svelte/Go)

Nodi; New York (NY); On-site; USD 165,000 - 265,000; Full time

Benefits offered by this job

Work with AI research team

Mission to advance materials science

Job summary

Nodi is seeking a mid-level to senior Full Stack Engineer to build software powering materials discovery. Most work centers on the frontend, crafting data-rich interfaces and real-time charts, with opportunities to ship end-to-end features from UI to backend protos.

Collaboration with product managers and AI tooling is expected in a fast-paced, research-driven environment. You'll work on complex datasets, integrate AI agents, and influence the architecture across Go backend, TypeScript, and

Qualifications

• At least 5 years of professional experience with TypeScript, HTML, and CSS, responsive/mobile-first design.
• Strong experience with Svelte/SvelteKit and modern frontend tooling (Vite, ESBuild, Rollup).
• Hands-on data visualization experience (D3 or canvas/SVG) for scientific charts.
• Backend familiarity: Go or other statically typed languages and API contracts (gRPC/Protobuf).

Responsibilities

• Build and maintain data-rich web apps using Svelte/SvelteKit and create high-fidelity UI from designs.
• Create data visualizations and real-time interfaces for scientific workflows and AI-enhanced features.
• Extend backend Cortex in Go with new RPCs and evolve protobuf schemas for cross-language clients.
• Own features end-to-end from schema to service to UI, with automated tests and CI/CD involvement.

Skills

TypeScript

HTML/CSS

Svelte

State management

D3 / data viz

Tools

Vite

ESBuild

Rollup

MongoDB

protobuf / gRPC

Job description

Nodi is seeking a mid-level to senior Full Stack Engineer to build software powering materials discovery. Most work centers on the frontend, crafting data-rich interfaces and real-time charts, with opportunities to ship end-to-end features from UI to backend protos.

Collaboration with product managers and AI tooling is expected in a fast-paced, research-driven environment. You'll work on complex datasets, integrate AI agents, and influence the architecture across Go backend, TypeScript, and