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AI Engineer (Innovation)

HTC Global Services
Abu DhabiFull TimePosted 22 Jul 2026
high ai relevanceon sitefull timemid level
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Role Overview

CompanyHTC Global Services
LocationAbu Dhabi
Posted22 Jul 2026
Work modeOn Site
EmploymentFull Time
SeniorityMid Level
AI relevanceHigh AI Relevance
VerificationReviewed by AIU.AE

Job Description

About the job

Job Description

About the Role:

We are seeking an AI Engineer (Innovation) with 6+ years of experience with dtrong programming experience in Python. Expertise in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on experience with OpenAI, Azure OpenAI, LangChain, Semantic Kernel, AutoGen, 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 DevOps.

  • 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.

Skills and Focus Areas

ai

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