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обновлено 13 дней назад

Senior Full Stack AI Engineer

Формат работы
onsite
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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TL;DR
Senior Full Stack AI Engineer (AI/Cloud/MLOps): Designing and deploying secure enterprise AI and Generative AI systems across Azure/AWS and on-premise environments with an accent on deep learning, APIs, data pipelines, and production infrastructure. Focus on building scalable model-serving platforms, optimizing inference and cloud costs, and establishing reliable MLOps for regulated banking and financial-services environments.

Location: Abu Dhabi, United Arab Emirates. Workplace: On-site

Company

hirify.global is an AI and data consultancy delivering tailored intelligent systems for enterprise clients, with a focus on financial services and banking.

What you will do

  • Architect secure end-to-end AI and Generative AI systems for public cloud and on-premise environments.
  • Design and optimize high-throughput APIs for AI models and agentic workflows.
  • Implement deep learning solutions across NLP and computer vision using transformer architectures, PyTorch, and TensorFlow.
  • Build retrieval systems with embedding models and enterprise vector databases.
  • Containerize, scale, monitor, and deploy AI services with Docker, Kubernetes, and MLOps pipelines.
  • Optimize data processing, model inference, token usage, cloud compute, and production costs while communicating technical decisions to senior stakeholders.

Requirements

  • Extensive experience launching and managing containerized AI/ML or data-intensive applications in regulated enterprise environments.
  • Strong experience with Docker, Kubernetes, Azure or another major cloud, and on-premise architecture, security, and networking.
  • Expertise in deep learning for NLP and computer vision, including transformers, embeddings, PyTorch, and TensorFlow.
  • Strong proficiency in Python, advanced data processing, SQL, NoSQL, vector databases, Big Data tools, and API gateway design.
  • Experience with production model monitoring, MLOps, cloud infrastructure, and token or inference cost optimization.

Nice to have

  • MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline.
  • Banking experience involving data residency, financial compliance, and legacy core banking systems.
  • Experience with LangChain, LlamaIndex, AutoGen, Azure AI Studio, or Kubeflow.

Culture & Benefits

  • Personal health insurance.
  • Visa sponsorship is available for the successful candidate.
  • Professional development, certification support, and role-related subscription reimbursement.
  • Opportunity to work on advanced AI projects for enterprise and financial-services clients.
  • Monthly employee incentive program and career advancement opportunities.
  • Inclusive and accessible application and interview process with reasonable adjustments available.

Hiring process

  • The application and interview process is designed to be accessible, predictable, and fair.
  • Reasonable adjustments can be requested during the application or interview process.

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