МексикаAI-Native Engineer, New Grad (Hybrid)
1 нед. назад
МексикаJuniorHybrid
javaspring bootreactpostgresqlrediskafkaaws
Entry-level AI-native backend engineer role focused on building and owning fintech product features end to end with modern backend technologies.
О компании
- Clarity — Open and direct communication: we say what we mean and give context where it matters.
- Simplicity — If it can be simpler, it should be.
- Ownership — We own everything we do, end to end. When something needs to happen, we don't wait.
- Pride — We hold ourselves to a high standard, and it shows in what we deliver.
- ABC (Always Be Changing) — We adapt fast, embrace change, and keep learning.
- Inclusivity — Diverse ideas, stories and perspectives build a better .
Будет плюсом
- Basic proficiency in Portuguese or a desire to learn it.
Другое
- is the leading spend management platform in Latin America. More than 40,000 businesses run on our corporate cards, bill pay, financing and B2B payments, and in 2025 the Financial Times named the fastest-growing company in Latin America. We're ~400 people, backed by Kaszek, monashees, Coatue, DST Global, ICONIQ, General Catalyst and Goldman Sachs, among others.
- 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.
- Relocation to CDMX is encouraged and supported
- 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 (ICPC, OMI, Codeforces), a strong thesis, or serious research all count and we want to hear about them.
- English proficiency. English is our corporate language — you’ll read, write, and discuss technical work in it daily.
- Ownership. You surface problems before they become blockers, you push things over the finish line, and you don’t wait to be told what to do. This is the single trait we screen hardest for.
- A high talent-density team driven to make an impact in Latin America — low ego, high ownership.
- Competitive salary and stock options (ESOP) from day one.
- An annual learning budget and accelerated development paths.
- English is our working language, with Spanish and Portuguese every day.
- Claridians split their time between the office, customers and home. We don't set a minimum number of office days for most roles, but we expect you to spend time there naturally, and most days during your ramp-up or when your leader asks.
- If you meet the must-haves, apply — the nice-to-haves are a bonus, not a requirement.