Senior Java Developer with AI

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. You will be: designing, developing, and maintaining backend applications using Java, building and enhancing REST APIs supporting business-critical services, developing AI-enabled features and integrating modern AI capabilities into backend applications, designing and implementing AI agent workflows using modern AI frameworks and runtime technologies, collaborating with software engineers and AI specialists to deliver scalable, production-ready solutions, writing clean, maintainable, and well-tested code, contributing to CI/CD processes and software delivery, leveraging AI-powered development tools to improve productivity, engineering quality, and development workflows. Your profile: 5+ years of commercial experience as a Java Developer, experience building and maintaining REST APIs and backend applications, practical experience with AI-assisted development tools such as Claude Code, Kiro, GitHub Copilot, Cursor, or similar, experience designing or implementing AI agents or agent-based workflows, familiarity with modern AI frameworks and technologies, such as LangGraph, FastMCP, Model Context Protocol (MCP), or similar, practical experience applying AI to improve software development, automation, or business applications, ability to work independently and deliver high-quality solutions, strong analytical and problem-solving skills, good communication skills in English (min. B2). Work from the European Union region and a work permit are required. Nice to have: experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, iInterest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Technical Interview – Client Interview – Decision