[Hiring] Content Developer - AI & Fraud Detection in Financial Systems @Jalasoft

Role Description

We're looking for a content developer for Fintech Engineering Specialization at Jala University. You'll design module content, labs, a reference implementation, an evaluation harness, and an instructor guide.

Qualifications

• Has worked on a fraud/risk team at a fintech operating at scale (Nubank, Mercado Pago, Rappi, or similar).
• Public writing samples showing technical explanation (docs, workshop material, book chapter, or open-source project known for its docs), including ability to write to publication standard.
• Reproducibility discipline (pinned dependencies, containers, seeded runs, documented decoding parameters).
• Professional written English.

Requirements

• 5+ years as a software engineer.
• 3+ years in FinTech, payments, or financial services.
• Tech stack: Go, TypeScript / Node.js.
• Key technical requirements:
• Real-time fraud pipelines: streaming, rules + ML with latency SLAs.
• Integration with fraud providers (Cybersource, ClearSale, Fingerprint, Seon).
• ML from the perspective of the engineer integrating models, including feature engineering.
• Feature Stores.
• KYC/AML, sanctions and PEP lists, COAF or UIF reporting.
• Treasury reconciliation (proof of reserves).

Benefits

• Nice to have: Master's Degree in Computer Science or related.
• Production experience with blockchain transaction monitoring / crypto AML.
• Model explainability in regulated LatAm markets.
• Remote work modality (home office).
• Joining a dynamic and growing organization with international reach.