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3 дня назад

AI Engineer (Fintech)

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

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TL;DR

AI Engineer (Fintech): Building and scaling AI/LLM systems for corporate spend management with an accent on secure RAG pipelines, agent orchestration, and compliance-driven architecture. Focus on designing modular, vendor-neutral AI infrastructure, implementing robust guardrails, and ensuring production-grade reliability for sensitive financial data.

Location: Dubai

Company

hirify.global is a fintech company transforming how businesses manage company spending.

What you will do

  • Own the end-to-end technical architecture of AI and LLM systems, from framework selection to production deployment.
  • Build reusable platform components including model gateways, permission-aware RAG, and agent orchestration.
  • Translate security and compliance policies into technical controls for data classification, PII protection, and RBAC.
  • Establish evaluation and observability frameworks to monitor quality, safety, latency, and drift.
  • Partner with product and business teams to deliver dependable AI solutions with appropriate human oversight.
  • Maintain a modular, vendor-neutral architecture to avoid lock-in with specific model providers.

Requirements

  • 5+ years of software engineering experience with strong Python and production backend/API ownership.
  • Hands-on production experience with agent SDKs like LangChain, LangGraph, or Semantic Kernel.
  • Experience building permission-aware RAG pipelines and working with vector stores like pgvector or Pinecone.
  • Strong cloud-native engineering fundamentals and experience with evaluation/tracing tools like LangSmith or Ragas.
  • Experience implementing security guardrails and fine-grained permissions using tools like OPA or OpenFGA.
  • Ability to translate ambiguous problems into scoped milestones and reliable, shipped software.

Nice to have

  • Experience handling sensitive data in regulated environments such as fintech or banking (GDPR, SOC 2, PCI).
  • Knowledge of model gateways, multi-provider routing, and LLM cost controls.
  • Working knowledge of TypeScript/React or internal developer platforms.

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