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Principal Fullstack Architect (AI & Agentic Systems)

3 hours, 34 minutes ago
Slovakia, Sweden, Bulgaria, Czech Republic, Hungary, Moldova, Poland, Romania
Lead
AI Engineer
Software Development
AWS Azure Databricks GCP Generative AI LLM Microservices Python React Snowflake TypeScript
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Xebia

Xebia

Xebia is a pioneering IT consultancy company specializing in Continuous Delivery, DevOps, Agile Consulting, and Digital Transformation Services, creating digital leaders through innovative solutions.

Internet Software & Services
1K-5K
Founded 2008
View All Jobs 15

Description

  • Design, develop, and maintain core backend services using Python.
  • Contribute to the architecture and technical direction of the 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.
  • Build internal engineering tooling and developer productivity solutions.
  • Support technical decision-making while remaining 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.

Requirements

  • 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 software development lifecycle.
  • Strong ownership mentality with the 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 such as Claude Code, GitHub Copilot, or Cursor to improve productivity, quality, or decision-making in software delivery.
  • Work from the European Union region and a valid work permit are required.
  • Experience building applications with LangGraph (nice to have).
  • Experience working with LangChain (nice to have).
  • Experience designing and implementing agentic AI workflows (nice to have).
  • Hands-on experience using Claude Code, Cursor, or Copilot Workspace (nice to have).
  • Experience leveraging AI coding agents within software engineering teams (nice to have).
  • Experience working within the insurance or InsurTech domain (nice to have).
  • Experience leading technical direction for engineering teams (nice to have).
  • Experience building internal engineering platforms or developer productivity tooling (nice to have).
  • Experience defining engineering standards and best practices (nice to have).
  • Experience leading AI-assisted engineering teams (nice to have).
  • Formal enterprise architecture experience while remaining hands-on in software development (nice to have).
  • Interest in emerging AI engineering practices and modern AI-native software development paradigms (nice to have).
  • Experience applying GenAI in a structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations (nice to have).
  • Interest in and familiarity with AI-driven practices such as agent-based workflows, automation patterns, and AI-augmented development (nice to have).

Interested in this position?

Apply directly on the company website

Apply Now

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