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AI Engineer; Innovation

Job in Abu Dhabi, UAE/Dubai
Listing for: HTC Global Services
Full Time position
Listed on 2026-07-08
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 180000 AED Yearly AED 140000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer (Innovation)

About the Role

We are seeking an AI Engineer (Innovation) with 6+ years of experience with strong programming experience in Python. Expertise in Machine Learning, Deep Learning, NLP, and Generative AI. Hands‑on experience with OpenAI, Azure OpenAI, Lang Chain, Semantic Kernel, Auto Gen, or similar Agentic AI frameworks.

Requirements
  • Design and develop AI/ML and Generative AI solutions.
  • Build predictive models for demand forecasting, revenue optimization, dynamic pricing, ancillary revenue growth, and passenger behavior analysis.
  • Develop and deploy LLM-based applications using RAG, Vector Databases, Prompt Engineering, and Agentic AI frameworks.
  • Build intelligent recommendation and personalization engines.
  • Develop scalable AI pipelines and integrate AI models with enterprise applications and operational systems.
  • Deploy and manage AI solutions on Azure cloud platforms.
  • Collaborate with Data Engineers, Data Scientists, Product Owners, and Business Stakeholders to translate business requirements into AI solutions.
  • Ensure model performance, scalability, security, governance, and compliance standards.
Required Skills
  • Experience building RAG architectures and Vector Databases.
  • Strong knowledge of LLMs, Prompt Engineering, Fine-tuning, and AI Evaluation frameworks.
  • Experience with Azure AI Services, Azure Databricks, Azure Machine Learning, Azure Data Factory, and Azure Dev Ops.
  • Experience with MLOps, CI/CD, model deployment, monitoring, and governance.
  • Knowledge of data engineering concepts, APIs, microservices, and event-driven architectures.
  • Familiarity with SQL, Spark, and large-scale data processing.
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