Principal Fullstack Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Fullstack Architect (AI): Building and scaling an AI-native underwriting platform for the InsurTech sector with an accent on backend services and agentic AI workflows. Focus on transitioning the product from MVP to a production-grade system and defining engineering standards for AI-assisted development.
Location: Must be based in the European Union region and possess a valid work permit
Company
is a global AI-first digital transformation and engineering partner specializing in scalable products and data-driven solutions.
What you will do
- Design and maintain core backend services using Python for an AI-native underwriting platform.
- Lead the technical direction and architecture of the platform, ensuring it is scalable, secure, and observable.
- Collaborate with frontend engineers on integrations with React and TypeScript applications.
- Define and promote engineering standards and development workflows to improve velocity and quality.
- Build internal engineering tooling and developer productivity solutions.
- Mentor team members through technical leadership, code reviews, and knowledge sharing.
Requirements
- Extensive commercial experience developing production software using Python.
- Strong proficiency in TypeScript and familiarity with React frontend architecture.
- Proven experience designing scalable distributed architectures and secure software systems.
- Practical experience using AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor).
- Must be based in the European Union region and have a valid work permit.
- Strong ownership mentality with the ability to independently drive technical initiatives.
Nice to have
- Experience building applications with LangGraph, LangChain, or designing agentic AI workflows.
- Experience working within the insurance or InsurTech domain.
- Formal enterprise architecture experience while remaining hands-on in development.
- Experience building internal engineering platforms or productivity tooling.
- Interest in emerging AI-driven paradigms and automation patterns.
Hiring process
- CV review and HR introductory call.
- Technical Interview.
- Client Interview.
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