Remote Full-Stack Engineer for AI-Driven Analytics

Pearl

Bogotá ciudad

Remoto

COP 291.300.000 - 453.133.000

Tempo pieno

3 giorni fa
Candidati tra i primi
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Competitive Salary
Remote work worldwide (LATAM)
Generous PTO
Health coverage for remote employees

Descrizione del lavoro

Pearl Talent is seeking a Full-Stack Software Engineer for a fully remote role across LATAM. You will work with React and Next.js on the frontend and Node.js/Express on the backend, building analytics-driven features for a data platform connected to POS systems.

In a lean engineering environment, you’ll deploy to Google Cloud Platform and leverage Claude Code, Codex, and related tools while shipping production-ready features and pipelines.

Competenze

  • 3–7 years of professional software engineering in production environments.
  • Proficiency in JavaScript/TypeScript for frontend and backend.
  • Experience building React user interfaces.
  • Hands-on with Node.js and Express APIs.
  • Daily use of Claude Code, Codex, Cursor or similar tools.
  • Ability to own features end-to-end from design to production deployment.
  • English at C1+ CEFR for daily CTO/client communication.

Mansioni

  • Design, build, test, and deploy features end-to-end with minimal supervision.
  • Integrate POS APIs and build data pipelines for analytics.
  • Implement AI-driven features using Claude/OpenAI APIs.
  • Collaborate in planning sessions and provide feedback.

Conoscenze

3–7 years exp
JavaScript
TypeScript
React
Node.js
Express
Claude Code/Codex
End-to-end ownership
English C1+

Strumenti

Claude Code
Codex
Cursor

Descrizione del lavoro

Pearl Talent is seeking a Full-Stack Software Engineer for a fully remote role across LATAM. You will work with React and Next.js on the frontend and Node.js/Express on the backend, building analytics-driven features for a data platform connected to POS systems.

In a lean engineering environment, you’ll deploy to Google Cloud Platform and leverage Claude Code, Codex, and related tools while shipping production-ready features and pipelines.

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