AI Agent Developer

15.540.240 ISK (ISK)/yr

7.471,27 ISK (ISK)/hr

671.338 ISK (ISK)/yr

The average ai agent developer gross salary in Iceland is 15.540.240 ISK or an equivalent hourly rate of 7.471 ISK. In addition, they earn an average bonus of 671.338 ISK. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Iceland. An entry level ai agent developer (1-3 years of experience) earns an average salary of 10.921.370 ISK. On the other end, a senior level ai agent developer (8+ years of experience) earns an average salary of 17.751.097 ISK.

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Salary Potential

20.461.078 ISK (ISK)

32 %

Based on our compensation data, the estimated salary potential for AI Agent Developer will increase 32 % over 5 years.

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Country Overview

Iceland

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

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Iceland is a Nordic island country between the Arctic Ocean and the North Atlantic Ocean, located on the Mid-Atlantic Ridge between Europe and North America. It is culturally and politically linked with Europe and is the region's westernmost and most sparsely populated country. Its capital and largest city is Reykjavík, which is home to about 35% of the country's roughly 395,000 residents (excluding nearby towns/suburbs, which are separate municipalities). The official language of the country is

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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 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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