AI-Native Engineer, New Grad (Hybrid)

Posted Yesterday
Be an Early Applicant
3 Locations
Remote or Hybrid
Entry level
Payments • Financial Services
The Role
Build and deploy production software for Clara’s B2B fintech platform. Engineers own features end to end, including design, coding, testing, deployment, monitoring, and maintenance. Depending on track, work involves backend services and APIs or data pipelines, machine learning models, risk scoring, fraud detection, and spend intelligence. The role emphasizes AI-native development, strong technical fundamentals, ownership, cross-functional collaboration, and learning complex fintech and regulatory domains.
Summary Generated by Built In

Clara 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 Clara 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.


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.
  • 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.
Nice to haves
  • Basic proficiency in Portuguese or a desire to learn it.

Why Clara
  • 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.
How we work
  • 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 Clara.
Hybrid at Clara

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.

Skills Required

  • Technical foundation in computer science, software engineering, mathematics, physics, or equivalent demonstrated coding ability
  • Built and can demonstrate a software project, deployed application, used repository, hackathon project, open-source contribution, or similar artifact
  • Experience building with AI, such as agents, RAG systems, evaluations, fine-tunes, or automation tools
  • Strong fundamentals in data structures, algorithms, and systems thinking
  • English proficiency for reading, writing, and discussing technical work
  • Ownership, initiative, and ability to drive work through completion
  • Basic Portuguese proficiency or willingness to learn Portuguese

Clara Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Clara and has not been reviewed or approved by Clara.

  • Equity Value & Accessibility — Equity grants are emphasized across several descriptions, with stock options commonly included and in some instances available from day one. Feedback suggests this ownership component is a meaningful part of total rewards.
  • Leave & Time Off Breadth — Time off offerings are portrayed as flexible, including references to flexible vacation and flexible time off policies. Feedback suggests this supports work–life balance for many roles.
  • Wellbeing & Lifestyle Benefits — Wellness support is cited through mental‑health platforms, coaching and meditation programs, and monthly wellness reimbursements in some contexts. Feedback suggests these offerings complement core benefits where available.

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The Company
HQ: San Francisco, CA
476 Employees
Year Founded: 2020

What We Do

Clara is the leading payment platform for companies in Latin America. Our end-to-end solution includes our locally-issued corporate cards, Bill Pay, crossborder payments, and our highly-rated software platform used by thousands of the most successful companies across the region. Clara is backed by top global and regional investors such as Coatue, DST Global, General Catalyst, monashees, Kaszek, Canary, A*, BoxGroup, SV Angel, GFC, Picus Capital, Avid Ventures, ICONIQ Growth, Goldman Sachs, and prominent angel investors. Driven by our six core values (Ownership, Pride, ABC, Simplicity, Clarity and Inclusivity) we’ve reached a unicorn valuation in record time, have been recognized as a Great Place to Work and as one of the most promising startups according to Linkedin’s ranking “Top Startups 2021”. We’re looking for the best talent worldwide to join our team and be part of this journey, so you can't afford to miss this chance! We are: * Shaping business finances in Latin America * Driven by our 6 core values * Proud of our inclusive and caring culture * Certified as a Great Place to Work and a Top LinkedIn Startup

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