Remote Frontend Lead for AI-Powered Creator Platform

Cookunity; La Pampa; Remote; ARS 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Work Remotely

Flexible Time Off

Communication Stipend

Global Impact

Competitive Compensation

Job summary

vidIQ is seeking a frontend-leaning engineer to own entire product surfaces from UI to APIs and data dependencies. You’ll shape the user experience for millions of creators and integrate AI-driven capabilities across the stack.

You’ll work across the stack, ship AI features, review code, and mentor others, with an emphasis on performance, reliability, and user-centric design in a fast-moving AI-native environment.

Qualifications

• Strong frontend focus with ability to design APIs and server-side code.
• Ability to work across the stack and own end-to-end product surfaces.
• Self-driven, decisive, and able to move work forward autonomously.
• Experience leading projects from concept to completion and mentoring others.
• Excellent communication and ability to explain technical concepts clearly.

Responsibilities

• Own product surfaces end to end across vidIQ.
• Build and modify backend APIs, services, and data flows as needed.
• Drive your own roadmap based on feedback, data, and codebase insights.
• Ship AI-powered features and ensure reliable model integration.
• Fix architecture and performance bottlenecks in frontend and backend.
• Integrate AI tooling responsibly and share learnings with the team.
• Improve monitoring, error reporting, and post-live ownership.
• Review colleagues' code and provide constructive feedback.

Skills

TypeScript

React

Next.js

Vite

Tailwind

Tools

Claude Code

Cursor

GitHub Copilot

Job description

vidIQ is seeking a frontend-leaning engineer to own entire product surfaces from UI to APIs and data dependencies. You’ll shape the user experience for millions of creators and integrate AI-driven capabilities across the stack.

You’ll work across the stack, ship AI features, review code, and mentor others, with an emphasis on performance, reliability, and user-centric design in a fast-moving AI-native environment.