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Jalasoft
Jalasoft
1,001 – 5,000 Employees
EducationSaaSSoftware Engineering
Jalasoft is a nearshore software development company serving clients through teams based across South America and a broader presence in 70 cities across 13 countries. Its 1,000-plus engineers work across software development, quality assurance, and DevOps, supporting both staff augmentation and dedicated-team engagements. Jalasoft also focuses on secure technology delivery, with ISO 27001 certification and partnerships involving Palo Alto, NVIDIA, and Cisco for network and data center management. Through Jala University, the company develops technology education programs that help cultivate and recruit new technical talent. For professionals exploring software, QA, DevOps, SaaS, or technology education opportunities, Jalasoft offers a company profile spanning engineering services, talent development, and digital transformation work.
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Academic Content Developer, AI Fraud Detection and Financial Systems

Develop FinTech fraud-detection curriculum for Jala University, covering instructional modules, practical labs, reference implementations, evaluation tooling, and instructor documentation.

ARArgentinaBOBoliviaBRBrazilCOColombiaMXMexicoPEPeruRemoteFull-timeMiddleSeniorEnglish RequiredAI EngineerMachine Learning Engineer
GoJavaScriptNode.jsTypeScript

Description

  • Create module content for Jala University's FinTech Engineering Specialization
  • Develop practical laboratory exercises
  • Produce a reference implementation
  • Build an evaluation harness
  • Write an instructor guide

Requirements

  • Experience on a fraud or risk team at a large-scale fintech such as Nubank, Mercado Pago, Rappi, or a comparable company
  • Public technical writing samples—such as documentation, workshop materials, a book chapter, or a documentation-focused open-source project—written to publication standard
  • Strong reproducibility practices, including pinned dependencies, containerization, seeded runs, and documented decoding parameters
  • Professional written English proficiency
  • At least 5 years of software engineering experience
  • At least 3 years of experience in FinTech, payments, or financial services
  • Go programming experience
  • TypeScript and Node.js experience
  • Experience with real-time fraud pipelines, including streaming, rules-based systems, machine learning, and latency SLAs
  • Experience integrating fraud providers such as Cybersource, ClearSale, Fingerprint, or Seon
  • Understanding of machine learning from the perspective of an engineer integrating models, including feature engineering
  • Experience with feature stores
  • Knowledge of KYC/AML processes, sanctions and PEP lists, and COAF or UIF reporting
  • Experience with treasury reconciliation and proof-of-reserves processes

Benefits

  • Remote work from a home office
  • Opportunity to join a dynamic, growing organization with international reach

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