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Artificial Intelligence (AI) Engineer

Формат работы
hybrid
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
Artificial Intelligence (AI) Engineer (Generative AI/Banking): Building and scaling enterprise-grade conversational AI platforms, banking automation agents, and RAG pipelines with an accent on LLM orchestration, model deployment, and operational resilience. Focus on optimizing and evaluating agentic AI systems, developing MLOps infrastructure, and implementing security, fairness, explainability, and compliance controls.

Location: Hybrid in Abu Dhabi, United Arab Emirates

Company

hirify.global is an AI and data consultancy delivering intelligent enterprise systems, with a focus on financial services, banking, data science, automation, and systems integration.

What you will do

  • Build and scale voice and chat Conversational AI platforms using LLM-based agents and multi-agent orchestration frameworks.
  • Develop AI automation agents for KYC, compliance, risk monitoring, and customer service.
  • Implement RAG pipelines with vector databases and knowledge graphs for enterprise search.
  • Design prompts, optimize LLMs, and apply parameter-efficient fine-tuning techniques.
  • Operationalize embedding models and custom ML solutions through APIs, SDKs, CI/CD pipelines, automated retraining, and drift management.
  • Establish standards for model fairness, security, explainability, disaster recovery, and operational resilience while translating analytics into business solutions.

Requirements

  • Bachelor’s degree in Computer Science, AI, Software Engineering, Mathematics, or another quantitative field; a Master’s degree in AI/ML is preferred.
  • At least 5 years of experience in AI/ML engineering or large-scale digital product engineering, ideally in banking or digital transformation projects.
  • Experience deploying AI/ML solutions in regulated environments, preferably banking or financial services.
  • Expert Python skills for ML/AI engineering and Generative AI applications.
  • Experience with MLOps, MLflow, CI/CD, Tableau or Power BI, cloud AI platforms, serverless deployments, Docker, and Kubernetes.
  • Strong knowledge of transformer models, multimodal architectures, agentic AI, vector databases, knowledge graphs, SQL/NoSQL systems, LLM evaluation, and observability.

Nice to have

  • Experience rapidly prototyping AI solutions while maintaining enterprise security and compliance.
  • Experience with LangChain, CrewAI, Bedrock, RLHF, and multimodal AI.
  • Active participation in the AI community and strong communication with non-technical stakeholders.

Culture & Benefits

  • Visa sponsorship is available for the successful candidate.
  • Comprehensive health insurance is provided.
  • Professional development and certification support.
  • Opportunity to work on advanced AI projects with career advancement opportunities.
  • Inclusive workplace with support for diverse thinking styles and accessible, predictable application and interview processes.

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