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Urgent! Unlocking Innovation Through AI Leadership Position in Abu Dhabi - beBeeArtificialIntelligence

Unlocking Innovation Through AI Leadership



Job description

Senior Artificial Intelligence Engineer

We are seeking an experienced and innovative Senior Artificial Intelligence (AI) Engineer to join our team.

The ideal candidate will have a strong background in designing, developing, and deploying AI-driven full-stack solutions that align with business objectives and technical standards.

  • Lead the design, development, and deployment of AI-driven full-stack solutions, ensuring alignment with business objectives and technical standards.

  • Build and maintain AI/ML platform components: deployment, monitoring, scaling, governance.

  • Operationalize Large Language Models (LLMs), embedding models, and custom Machine Learning (ML) solutions across business use cases.

  • Implement Machine Learning Operations (MLOps) best practices for automation, retraining, monitoring, and drift management.

  • Establish engineering guardrails for model fairness, security, explainability, and compliance.

  • Ensure operational resilience, high availability, and disaster recovery for AI services.

Key Responsibilities:

  • Mastery in Python programming for Generative AI applications.

  • Strong grasp of Generative AI engineering principles, modular design, and scalable architecture.

  • Collaborate with AI Engineers, Data Scientists, User Interface (UI)/User Experience (UX) teams.

  • Establish documentation standards and reusable templates for Generative AI projects.

  • Expert in containerization and DevOps practices, including Docker and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for scalable and automated deployments.

Requirements:

  • At least 5+ years in software development with expertise in building scalable web applications using microservices, REST APIs, and modern frameworks.

  • Hands-on experience with GenAI engineering, Retrieval-Augmented Generation (RAG) workflows, and cloud-native deployments.

  • Bachelor's degree in quantitative fields such as Computer Science, Software Engineering or related field required, Master is preferred.


Required Skill Profession

Other General



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