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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 McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, 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.
We are looking for a Senior AI Algorithm Developer to join a project delivered for our international client operating in the medical technology and healthcare domain. The client is focused on developing advanced cardiac imaging solutions that support clinical decision-making through innovative AI-powered software and medical imaging technologies.
This role is a great opportunity to work on cutting-edge medical imaging platforms, contributing to the development of AI algorithms used in cardiac analysis, visualization, and measurement workflows. You will be involved in the design, implementation, optimization, and validation of advanced algorithms supporting 3D image processing, deep learning, and computational modeling in a highly specialized healthcare environment.
The project combines artificial intelligence, medical imaging, computational geometry, and software engineering within a multidisciplinary team consisting of product specialists, engineers, clinical experts, and regulatory stakeholders. You will play a key role in delivering robust and accurate solutions that support critical clinical workflows and medical innovation.
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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