Fullstack Developer (Java, Angular & LLM)

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. You will be: developing fullstack features using Java, Spring Boot, and Angular, designing and implementing REST APIs and integrations between multiple systems and data sources, integrating LLMs and Generative AI APIs into the application, working with PostgreSQL and applying Domain-Driven Design (DDD) principles, building AI-powered functionality to transform unstructured data into structured content, experimenting with AI capabilities and adapting solutions based on customer feedback. Your profile: strong commercial experience with Java and very good knowledge of Spring Boot, hands-on experience building modern web applications with Angular, experience designing and implementing REST APIs and integrating multiple systems, good knowledge of PostgreSQL and relational databases, understanding of Domain-Driven Design (DDD), practical experience integrating applications with LLMs or Generative AI APIs, p ractical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, ability to work independently in a fast-paced PoC/MVP environment, strong problem-solving skills and flexibility when working with evolving requirements, good command of English (min. B2). Work from the European Union region and a work permit are required. Nice to have: experience with speech-to-text or audio processing, experience processing unstructured data, including text, images, and voice, familiarity with prompt engineering and structured LLM outputs, experience building AI features that require human review and approval, experience integrating AI functionality into existing enterprise applications. Recruitment Process: CV review – HR call – Tecnical Interview – Client Interview – Decision