AI-Native Engineer, New Grad (Hybrid)

<div class="content-intro"><p><strong>Clara is the leading platform in Latin America for companies to execute and manage every payment operation.</strong> More than 50,000 leading and fast-growing businesses run on our corporate cards, bill pay, financing and B2B payments, and in 2025 the Financial Times named Clara the region’s fastest-growing company. We’re passionate about helping every company we work with become more effective—and, through that, raising the region’s competitiveness. We’re ~400 people, backed by Notable Capital, Coatue, Kaszek, monashees, DST Global, ICONIQ, General Catalyst and Goldman Sachs, among others.</p></div><div><br><strong>Ready to start your career at full speed?</strong><br><br>What you’ll actually do</div> <ul> <li>Ship production code in your first weeks — real features, real customers, real money moving.</li> <li>Own features end to end: design, build, test, deploy, watch the metrics, fix what you broke.</li> <li>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.</li> <li>Work directly with Product, Design, and senior engineers. Ask the dumb question early; it’s cheaper than the wrong build.</li> <li>Learn the domain deeply. B2B fintech in LatAm is genuinely hard — multiple countries, multiple regulators, real consequences. That’s what makes it interesting.</li> <li style="font-weight: bold;"><span style="text-decoration: underline;"><strong>Relocation to CDMX is encouraged and supported</strong></span></li> </ul> <div>Two tracks — tell us which one fits you<br><strong>Product Engineering (fullstack, backend-leaning)</strong> 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 <em>something</em> and to pick up the rest fast.<br><strong>Data &amp; ML Engineering</strong> 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.<br><br>Who you are</div> <ul> <li><strong>You’re at the start of your software career.</strong> 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.</li> <li><strong>A technical foundation.</strong> CS, Software Engineering, Mathematics, Physics or similar — or equivalent ability you can dem