AI-Native Engineer, New Grad (Ingeniero/a de Software AI-Native — Inicio de Carrera) - Mexico City (Hybrid)

Ready to accelerate your career?

Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.

Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices.

We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.

Ready to start your career at full speed?

What you’ll actually do

• Ship production code in your first weeks — real features, real customers, real money moving.

• Own features end to end: design, build, test, deploy, watch the metrics, fix what you broke.

• Use AI across your workflow — coding, debugging, testing, research, automating the boring parts — and push the frontier of how your team uses it, not just how you do.

• Work directly with Product, Design, and senior engineers. Ask the dumb question early; it’s cheaper than the wrong build.

• Learn the domain deeply. B2B fintech in LatAm is genuinely hard — multiple countries, multiple regulators, real consequences. That’s what makes it interesting.

Two tracks — tell us which one fits you Product Engineering (fullstack, backend-leaning) Backend services, APIs, and the interfaces on top of them. Our stack leans Java/Spring Boot, React, PostgreSQL, Redis, Kafka, and AWS — but we don’t expect you to have used all of it. We expect you to have gone deep on something and to pick up the rest fast. Data & ML Engineering Pipelines, models, and the systems that make them useful in production — risk scoring, fraud signals, spend intelligence. Python, SQL, and modern data tooling. Applied and in production, not just notebooks. Who you are

• You’re at the start of your software career. Whether you finished your degree last month or took a different route to get here, this role is scoped for engineers without prior full-time software experience — and we’ll treat you accordingly.

• A technical foundation. CS, Software Engineering, Mathematics, Physics or similar — or equivalent ability you can demonstrate in code.

• You’ve built things, and you can point at them. A GitHub, a deployed app, a repo people actually use, a hackathon win, a contribution to open source, a bot that solved a real problem for real users. One thing you built and can defend in depth beats a list of ten you touched.

• You’re AI-native and you can prove it. Not “I’ve used ChatGPT.” We mean: you’ve built with AI — agents, RAG, evals, fine-tunes, a tool that automates something you were sick of doing — and you use AI tools every day in how you code. Come ready to show us the artifact and walk us through the decisions.

• Strong fundamentals. Data structures, algorithms, systems thinking. Competitive programming