AI-Powered Full-Stack Engineer — Internal Data Tools

TikTok USDS Joint Venture; Seattle (WA); On-site; USD 178,000 - 342,000; Full time

Job summary

TikTok USDS Joint Venture in Seattle is seeking a senior full-stack engineer to build internal web apps end-to-end, from wireframes to production, owning both frontend UX and backend logic.

You will develop AI-powered interfaces, such as conversational data assistants and natural language SQL tools, and drive self-service adoption across teams. Collaborate with backend platform engineers, data scientists, and business stakeholders to translate complex data capabilities into polished products.

Qualifications

• Education: BS/MS in Computer Science, Engineering, or a related technical field.
• Experience: 5+ years shipping full-stack products from frontend to backend in production.
• Frontend: strong command of modern frontend frameworks (React, Vue, or equivalent).
• Backend: experience building APIs/services in Python/Go/Node.js/Java; comfortable with databases and caching.

Responsibilities

• Own the full product experience from wireframes to production, frontend UX and backend logic.
• Build user-facing AI tools and interfaces for AI-powered capabilities.
• Drive self-service adoption by replacing bottlenecks with polished internal tools.
• Elevate internal UX standards and collaborate across teams with backend engineers and data scientists.

Skills

Frontend frameworks

Backend languages

APIs/services

Databases/caching

AI/ML experience

Education

BS/MS in CS or related field

Tools

Python

Go

Node.js

Java

React

Vue

Job description

TikTok USDS Joint Venture in Seattle is seeking a senior full-stack engineer to build internal web apps end-to-end, from wireframes to production, owning both frontend UX and backend logic.

You will develop AI-powered interfaces, such as conversational data assistants and natural language SQL tools, and drive self-service adoption across teams. Collaborate with backend platform engineers, data scientists, and business stakeholders to translate complex data capabilities into polished products.