Engineer Artificial Intelligence Agent

195 857 ₾ (GEL)/yr

94,16 ₾ (GEL)/hr

8 461 ₾ (GEL)/yr

The average engineer artificial intelligence agent gross salary in Georgia is 195 857 ₾ or an equivalent hourly rate of 94 ₾. In addition, they earn an average bonus of 8 461 ₾. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Georgia. An entry level engineer artificial intelligence agent (1-3 years of experience) earns an average salary of 139 995 ₾. On the other end, a senior level engineer artificial intelligence agent (8+ years of experience) earns an average salary of 227 560 ₾.

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Salary Potential

244 353 ₾ (GEL)

25 %

Based on our compensation data, the estimated salary potential for Engineer Artificial Intelligence Agent will increase 25 % over 5 years.

Education

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Country Overview

Georgia

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

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Georgia is a country in the Caucasus region on the coast of the Black Sea. It is located at the intersection of Eastern Europe and West Asia, and is today generally regarded as part of Europe. It is bordered to the north and northeast by Russia; to the west by the Black Sea, to the south by Turkey and Armenia, and to the southeast by Azerbaijan. Georgia covers an area of 69,700 square kilometres (26,900 sq mi). It has a population of 3.9 million, of which over a third live in Tbilisi, the capita

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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, engineers, and operationalizes intelligent software agents that utilize large language models and AI systems to automate workflows, retrieve and reason over enterprise knowledge, and deliver business outcomes. Applies principles of software engineering, information retrieval, and agent orchestration to construct production-grade agents that plan tasks, call tools and APIs, coordinate with other agents, and interact safely with users and services.... Architects end-to-end agent systems encompassing memory/state, retrieval layers, evaluation, and governance. Integrates agents with cloud platforms and enterprise applications; establishes observability and lifecycle controls; and optimizes for accuracy, reliability, latency, scalability, and unit cost. Collaborates with product, security, legal, and operations stakeholders to reimagine processes with agents at the center and align deployments with organizational standards and compliance requirements. May lead technical reviews and mentor engineers contributing to shared frameworks, SDKs, and agent platforms.Read More
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