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AI-Native Engineer, New Grad (Hybrid)

Salary not listed • Monterrey / NLE / Mexico • Full-time

Posted 28d ago

Job Location

Monterrey / NLE / Mexico

Tech Stack

Remote Work Policy

On-site

Employment Type

Full-time

Categories

LLM Engineer

About the job

Clara is a leading financial technology platform in Latin America, empowering over 50,000 businesses with corporate cards, bill payments, financing, and B2B payment solutions. Recognized as the region's fastest-growing company by the Financial Times in 2025, Clara is dedicated to enhancing business efficiency and regional competitiveness. This role offers an opportunity to start your career at full speed, shipping production code within weeks and owning features end-to-end. You will leverage AI across your workflow, from coding and debugging to research and automation, pushing the boundaries of how your team utilizes AI. The role involves working directly with Product, Design, and senior engineers, and requires a deep understanding of the B2B fintech domain in Latin America.

Responsibilities

  • Ship production code and new features within the first few weeks.
  • Own features from design and development through testing, deployment, and monitoring.
  • Utilize AI tools across the entire development workflow, including coding, debugging, testing, and research.
  • Collaborate closely with Product, Design, and senior engineering teams.
  • Gain a deep understanding of the B2B fintech domain in Latin America.
  • Contribute to the development of pipelines, models, and systems for risk scoring, fraud detection, and spend intelligence (Data & ML Engineering track).

Requirements

  • At the start of a software career, with no prior full-time software experience required.
  • A strong technical foundation in Computer Science, Software Engineering, Mathematics, Physics, or equivalent demonstrated ability.
  • Proven experience building projects, demonstrable through a GitHub profile, deployed application, or open-source contributions.
  • Demonstrated experience building with AI, including agents, RAG, evals, or fine-tunes, and daily use of AI coding tools.
  • Strong fundamentals in data structures, algorithms, and systems thinking.
  • Proficiency in English for technical communication.
  • Demonstrated ownership and initiative, proactively identifying and solving problems.

Benefits

  • Competitive salary and stock options (ESOP) from day one.
  • Annual learning budget and accelerated development paths.
  • Relocation support to CDMX is encouraged and supported.