Developer AI

337,568 د.إ.‏ (AED)/yr

162.29 د.إ.‏ (AED)/hr

15,494 د.إ.‏ (AED)/yr

The average developer ai gross salary in United Arab Emirates is 337,568 د.إ.‏ or an equivalent hourly rate of 162 د.إ.‏. In addition, they earn an average bonus of 15,494 د.إ.‏. Salary estimates based on salary survey data collected directly from employers and anonymous employees in United Arab Emirates. An entry level developer ai (1-3 years of experience) earns an average salary of 237,440 د.إ.‏. On the other end, a senior level developer ai (8+ years of experience) earns an average salary of 379,850 د.إ.‏.

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Salary Potential

364,767 د.إ.‏ (AED)

8 %

Based on our compensation data, the estimated salary potential for Developer AI will increase 8 % over 5 years.

Education

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Country Overview

United Arab Emirates

Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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The United Arab Emirates (UAE), also known simply as the Emirates, is a country in West Asia, situated at the eastern end of the Arabian Peninsula. It is a federal semi-constitutional monarchy made up of seven emirates, with Abu Dhabi serving as its national capital. The UAE borders Oman to the east and northeast, and Saudi Arabia to the southwest. It shares maritime borders with Qatar and Iran in the Persian Gulf, and with Oman in the Gulf of Oman. In 2024, the UAE had an estimated population o

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Disclaimer
This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.

Job Description
Designs, develops, and implements AI-powered software that solves real business problems. Incorporates machine learning (including large language models/LLMs) into scalable applications, owns data/model pipelines end-to-end, and partners with product, security, and platform teams to deliver measurable outcomes in production.
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