3 дня назад
AI Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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