AI-Native Engineer — New Grad, Fast-Track FinTech

Clara

Ciudad de México

Híbrido

MXN 360.000 - 480.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Stock options
Hybrid work model
Annual learning budget

Descripción de la vacante

Clara is the fastest-growing company in Latin America and a leading B2B fintech for spend management. You will work on real features with real customers, own modules end to end, and ship production code in your first weeks.

Expect to collaborate with product, design, and senior engineers in a fast-paced, AI‑driven environment. We’re looking for engineers starting their software careers, with a solid CS/SE/Math background or demonstrable coding ability, English as corporate language, and a bias

Formación

  • Beginner engineers with no prior full-time software experience.
  • CS, Software Engineering, Mathematics, Physics or equivalent ability.
  • You’ve built something and can defend it.
  • English proficiency in corporate settings.

Responsabilidades

  • Ship production code in early weeks for real features and customers.
  • Own features end-to-end: design, build, test, deploy, monitor metrics.
  • Collaborate with Product, Design, and senior engineers; ask questions early.
  • Learn the Clara domain—LatAm fintech with multiple countries and regulators.
  • Contribute to AI-driven workflows and tooling in daily coding tasks.

Conocimientos

Junior engineer
AI-native
Ownership
English proficiency
Fundamentals
GitHub

Herramientas

APIs
GitHub

Descripción del empleo

Clara is the fastest-growing company in Latin America and a leading B2B fintech for spend management. You will work on real features with real customers, own modules end to end, and ship production code in your first weeks.

Expect to collaborate with product, design, and senior engineers in a fast-paced, AI‑driven environment. We’re looking for engineers starting their software careers, with a solid CS/SE/Math background or demonstrable coding ability, English as corporate language, and a bias

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