Senior AI Full-Stack Engineer for Production Systems — Dubai

Leadingedgeme

Dubai

Vor Ort

AED 240.000 - 480.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Dubai-based organization is seeking a Senior Full-Stack AI Engineer to design, deploy, and operate production-grade AI-driven systems with enterprise-scale integrations in Dubai, UAE. The role is onsite and requires deep expertise across backend, frontend, and AI operational layers.

You will lead end-to-end development, monitor production systems, and ensure robust performance and reliability across SAP, M365, and external data integrations.

Qualifikationen

  • 7+ years of proven full-stack development experience with a strong AI and ML focus.
  • Hands-on expertise in Python, FastAPI, React, PostgreSQL, and Azure OpenAI.
  • Strong understanding of agentic AI systems, LLMs, and workflow orchestration.

Aufgaben

  • Design and deploy multi-step agentic workflow orchestration, tool calling, and human-in-the-loop gates using Python, FastAPI, React, PostgreSQL, and Azure OpenAI (UAE North).
  • Apply strong AI and ML foundations including model selection, evaluation, retrieval quality, and production monitoring.
  • Build and operate agent systems in production; fully own, debug, and explain all developed code.
  • Integrate enterprise platforms including SAP, M365, and external data sources into AI-driven workflows.
  • Monitor, optimise, and maintain production AI systems for reliability and performance.

Kenntnisse

AI/ML fundamentals
Full-stack development
System design

Tools

Python
FastAPI
React
PostgreSQL
Azure OpenAI

Jobbeschreibung

Dubai-based organization is seeking a Senior Full-Stack AI Engineer to design, deploy, and operate production-grade AI-driven systems with enterprise-scale integrations in Dubai, UAE. The role is onsite and requires deep expertise across backend, frontend, and AI operational layers.

You will lead end-to-end development, monitor production systems, and ensure robust performance and reliability across SAP, M365, and external data integrations.

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