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You will develop and maintain .NET-based software solutions while contributing to a platform designed for automated data extraction and analysis. The role involves collaborating with stakeholders to design reliable systems and troubleshooting technical issues within complex enterprise environments.
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
Within this project, you will work on a platform designed to automatically extract, process, and analyze information and data across Recur’s customer and software portfolio. The platform supports the modernization, automation, and scaling of business-critical software environments.
The project is primarily focused on enterprise software rather than traditional SaaS products. You will be working with software that is often deployed in complex customer environments, where reliability, maintainability, and the ability to work with diverse systems are important.
Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
Work from the European Union region and a work permit are required.
Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.
CV review – HR call – Interview – Client Interview – Decision
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