AI Engineer with Gemini and Document AI, Intelligent Automation Platform

Remote.Bulgaria
Remote.Georgia
Remote.Kazakhstan
Remote.Poland
Алмати
Астана
Белград
Варна
Варшава
Вроцлав
Днепър
Ереван
Киев
Клуж-Напока
Краков
Ларнака
Лвов
Лодз
Люблин
Одеса
Рига
София
Тбилиси
Харков

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Project overview

This project focuses on building intelligent automation solutions that transform complex business documents into structured, actionable data. You will design scalable AI workflows that combine document processing, agent-based automation, and continuous learning through human feedback.

Team

You will collaborate with a cross functional team of AI engineers, data engineers, and business analysts. The team works in an iterative and collaborative environment with close alignment to business stakeholders and continuous feedback loops to improve solution accuracy and usability.

Position overview

We are looking for an AI Engineer to design and implement intelligent automation solutions powered by modern AI technologies. You will work on building AI driven workflows that process unstructured data, automate business operations, and support decision making through reliable and scalable systems.

Responsibilities

Design and develop Document AI pipelines to process and extract structured information from unstructured sources such as PDFs and Excel files
Build and maintain AI agent workflows using Gemini for business processes including intake, certification, and billing
Implement human in the loop review mechanisms including review queues and feedback capture to improve system performance
Develop and optimize prompts using few shot learning techniques to enhance accuracy and consistency of AI outputs
Collaborate with cross functional teams to integrate AI solutions into existing business workflows
Validate and monitor AI outputs to ensure accuracy, completeness, and reliability
Continuously improve models and workflows based on feedback and performance metrics

Requirements

Experience designing and implementing Document AI pipelines for unstructured document processing
Hands on experience building AI agent solutions using Gemini
Experience with workflow automation and integration of AI solutions into business processes
Understanding of human in the loop systems and feedback driven improvement cycles
Experience with prompt engineering, including few shot learning techniques
Proficiency in Python and working with APIs
Experience working with large language models and AI based data processing systems

Nice to have

Experience with cloud based AI services and infrastructure
Familiarity with data engineering or data pipeline design
Experience with monitoring and evaluation frameworks for AI systems
Knowledge of data privacy and security practices in AI applications

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