AI Agent Developer

Rp507.151.194 (IDR)/yr

Rp243.822,69 (IDR)/hr

Rp21.908.932 (IDR)/yr

The average ai agent developer gross salary in Indonesia is Rp507.151.194 or an equivalent hourly rate of Rp243.823. In addition, they earn an average bonus of Rp21.908.932. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Indonesia. An entry level ai agent developer (1-3 years of experience) earns an average salary of Rp360.025.824. On the other end, a senior level ai agent developer (8+ years of experience) earns an average salary of Rp586.579.469.

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Salary Potential

Rp583.488.432 (IDR)

15 %

Based on our compensation data, the estimated salary potential for AI Agent Developer will increase 15 % over 5 years.

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Country Overview

Indonesia

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

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Indonesia, officially the Republic of Indonesia, is a country in Southeast Asia and Oceania, between the Indian and Pacific oceans. Comprising over 17,000 islands, including Sumatra, Java, Sulawesi, and parts of Borneo and New Guinea, Indonesia is the world's largest archipelagic state and the 14th-largest country by area, at 1,904,569 square kilometres (735,358 square miles). Indonesia has significant areas of wilderness that support one of the world's highest levels of biodiversity. It shares

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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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