About
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.
Responsibilities
•The project is initially planned for 2 months, with the possibility of extension depending on project needs and future plans
•Developing production-grade applications using TypeScript and modern software development practices
•Designing and implementing backend services, APIs and system integrations
•Building and maintaining agentic AI orchestration workflows
•Integrating AI agents with external tools, services and existing systems
•Contributing to the development of AI-powered applications and exploring new technical approaches
•Working with AWS services to build and support cloud-based solutions
•Collaborating with the team to test ideas, iterate on solutions and deliver reliable software
•Ensuring code quality, maintainability and scalability throughout the development process
Requirements
•Strong hands-on experience with TypeScript
•Proven experience building and delivering production-grade applications
•Solid backend development skills, including API design and system integrations
•Experience applying modern software development practices
•Familiarity with AWS and cloud-based application development
•Ability to work independently in a dynamic environment and take ownership of technical solutions
•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
•Interest 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 – Interview – Client Interview – Decision
