Principal Fullstack Architect (AI & Agentic Systems)

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. In the CEE region, they have 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, and others. They specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, working with technologies including AWS, Azure, GCP, Databricks, and Snowflake.

• Extensive commercial experience developing production software using Python
• Strong understanding of TypeScript and modern software engineering practices
• Familiarity with React and frontend application architecture
• Strong experience designing scalable software systems and distributed architectures
• Production mindset with experience building reliable, maintainable, and scalable applications
• Strong understanding of application security and secure software development practices
• Experience implementing observability, monitoring, and operational best practices
• Proven experience delivering production-grade software throughout the full SDLC
• Strong ownership mentality with ability to independently drive technical initiatives
• Comfortable working in fast-changing environments with evolving requirements and ambiguity
• Practical experience using AI-assisted development tools as part of daily engineering work
• Excellent communication and collaboration skills
• Strong software engineering fundamentals and system design capabilities
• 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

• Design, develop, and maintain core backend services using Python
• Contribute to the architecture and technical direction of an AI-native underwriting platform
• Act as a technical lead for AI-assisted software development within the engineering team
• Build scalable, secure, observable, and production-ready software solutions
• Collaborate with frontend engineers on integrations with React and TypeScript applications
• Define and promote engineering standards, development workflows, and software quality practices
• Leverage AI coding assistants to improve engineering velocity, code quality, and developer productivity
• Contribute to system architecture, technical design, and platform evolution
• Build internal engineering tooling and developer productivity solutions
• Support technical decision-making while remaining highly hands-on in software development
• Collaborate closely with product, engineering, and business stakeholders in an iterative product environment
• Mentor team members through technical leadership, code reviews, and knowledge sharing
• Help scale the platform from MVP to a robust enterprise-grade product

Work from the European Union region and a work permit are required.