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4 дня назад

Principal Software Engineer (AI/Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Software Engineer (AI/Fintech): Defining multi-year architecture and AI-native engineering strategy for Kueski Pay, Kueski Cash, and shared platforms with an accent on distributed systems, reliability, security, fraud prevention, and compliance. Focus on transforming legacy systems for safe AI-agent integration, shipping production-scale ML/LLM capabilities, and coaching Staff and Senior engineers.

Location: Guadalajara, Mexico; hybrid workplace

Company

hirify.global is a Mexican fintech company operating BNPL, online consumer credit, and payment products including hirify.global Pay and hirify.global Cash.

What you will do

  • Define multi-year technical strategy and architectural standards across hirify.global Pay, hirify.global Cash, and shared platforms.
  • Establish scalable, reliable, maintainable architectures incorporating compliance, fraud prevention, security, and regulatory requirements.
  • Own the AI-native transformation roadmap, including the safe integration of AI agents with existing systems and the AI-native SDLC.
  • Lead high-stakes AI capabilities into production with measurable business impact and governance from Risk, Compliance, and Security.
  • Set technical direction for the AI Enabling Team, coach and sponsor Staff and Senior engineers, and influence senior talent development.
  • Communicate technical direction to executives and represent hirify.global’s engineering organization externally.

Requirements

  • 15+ years of software engineering experience, including 4+ years at Staff, Principal, or equivalent technical-leadership scope across multiple teams.
  • Track record defining and delivering multi-year architecture for high-scale, distributed, transactional systems.
  • Deep expertise in distributed systems, financial domain modeling covering money movement, ledgering, and identity, observability, CI/CD, and cloud infrastructure.
  • Measurable impact on reliability, including CFR, MTTR, incident reduction, cost of ownership, or delivery speed.
  • Several years designing and shipping production ML/AI systems at scale, including agentic or LLM-based systems.
  • Familiarity with MLOps/LLMOps tooling and production observability for AI.
  • Results-backed perspective on transforming a legacy engineering organization into an AI-native organization.
  • Experience partnering directly with C-level leaders and translating strategy into technical roadmaps.
  • Proven record of growing senior engineers into Staff-level leaders.
  • Excellent written and spoken English and Spanish.

Nice to have

  • Experience in fintech, payments, lending, or another regulated industry.
  • Hands-on experience with security, fraud, and compliance, ideally shipping AI for credit, risk, collections, fraud, or underwriting.

Culture & Benefits

  • Culture focused on innovation, collaboration, impact, diversity, equity, and inclusion.
  • Commitment to ethical business practices and inclusion of qualified candidates.
  • Reasonable accommodations are available during the hiring process upon request.

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