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Last Updated: June 16, 2026

Developer Artificial Intelligence Agent

RM156,573 (MYR)/yr

RM75.28 (MYR)/hr

RM6,764 (MYR)/yr

The average developer artificial intelligence agent gross salary in Malaysia is RM156,573 or an equivalent hourly rate of RM75. In addition, they earn an average bonus of RM6,764. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Malaysia. An entry level developer artificial intelligence agent (1-3 years of experience) earns an average salary of RM110,477. On the other end, a senior level developer artificial intelligence agent (8+ years of experience) earns an average salary of RM180,369.

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Salary Potential

RM175,468 (MYR)

12 %

Based on our compensation data, the estimated salary potential for Developer Artificial Intelligence Agent will increase 12 % over 5 years.

Education

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Country Overview

Malaysia

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

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Malaysia is a country in Southeast Asia. A federal constitutional monarchy, it consists of 13 states and three federal territories, separated by the South China Sea into two regions: Peninsular Malaysia on the Indochinese Peninsula and East Malaysia on the island of Borneo. Peninsular Malaysia shares land and maritime borders with Thailand, as well as maritime borders with Singapore, Vietnam, and Indonesia; East Malaysia shares land borders with Brunei and Indonesia, and maritime borders with th

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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 deploys intelligent software agents that utilize large language models and related AI systems to automate workflows, retrieve and reason over organizational knowledge, and deliver measurable productivity improvements. Applies principles of software engineering, information retrieval, and machine learning orchestration to architect agentic systems that plan, call tools and APIs, and interact with users and services safely and reliably.... Incorporates agents with enterprise platforms and data stores, establishes evaluation methods and operational guardrails, and optimizes solutions for accuracy, latency, scalability, and cost. Collaborates cross-functionally to elicit requirements, reimagine processes with agents at the center, and translate business objectives into robust technical designs. Maintains an agent evaluation and observability platform to measure behavior, detect regressions, and govern releases. Considers security, privacy, and compliance throughout the lifecycle and ensures solutions align with organizational standards and change-management practices. May lead code reviews and mentor developers contributing to agent frameworks, SDKs, and shared components.Read More
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