We are seeking a Senior Front-End Developer to join the core team building our next-generation AI Engine and Unified Chat Assistant . You will architect the UI for complex AI workflows, including multi-tenant agent management, pipelines, and evaluation services. We operate on a forward-thinking model where you will leverage an AI-first, spec-driven development approach to own features end-to-end.
?What You’ll Do: Architect and Build: Develop scalable user interfaces for the AI Engine, Unified Chat Assistant, and Evaluation Service using modern web architectures. AI-First Development: Drive our spec-driven workflow by heavily utilizing AI agents (Cursor, Claude Code) to handle code generation, so you can focus on architecture, planning, and validation. End-to-End Ownership: Embrace a multi-disciplinary approach by owning the entire feature lifecycle from frontend implementation to backend integration and QA automation. Global Collaboration: Partner closely with Product, UX, and backend teams (including our Paris office) to ensure seamless API and microservice integrations. Quality Assurance: Establish and maintain high-quality standards through comprehensive testing strategies, including unit and E2E testing.
?What You’ll Do: Architect and Build: Develop scalable user interfaces for the AI Engine, Unified Chat Assistant, and Evaluation Service using modern web architectures. AI-First Development: Drive our spec-driven workflow by heavily utilizing AI agents (Cursor, Claude Code) to handle code generation, so you can focus on architecture, planning, and validation. End-to-End Ownership: Embrace a multi-disciplinary approach by owning the entire feature lifecycle from frontend implementation to backend integration and QA automation. Global Collaboration: Partner closely with Product, UX, and backend teams (including our Paris office) to ensure seamless API and microservice integrations. Quality Assurance: Establish and maintain high-quality standards through comprehensive testing strategies, including unit and E2E testing.
Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.
Requirements:
You'll do it using: 5+ years of proven experience architecting and delivering complex, scalable front-end ecosystems from the ground up. Expert proficiency in React and TypeScript Deep understanding of modern state management (e.g., TanStack Query, Zustand) and UI performance optimization. Hands-on experience leveraging AI-driven development ecosystems (Cursor, Claude Code, GitHub Copilot) to optimize engineering workflows. Strong familiarity with applied AI concepts (GenAI, LLMs, AI Agents, Evaluation Metrics, MCP).
?Advantage: Experience with E2E testing frameworks (strong preference for Playwright). Practical experience building UI for LLMs, including handling streaming responses, chat interfaces, and AI SDKs. Full-stack capabilities (Python/Node.js microservices) and a willingness to work across the stack. Familiarity with containerized environments and CI/CD (Docker, Kubernetes, Jenkins).
?You’ll Excel By: Demonstrating extreme ownership and thriving in an autonomous, high-velocity environment. Embracing new workflows and continuously pushing the boundaries of what AI coding assistants can achieve. Solving complex technical challenges with clean, analytical, and maintainable solutions. Maintaining a user-centric mindset when transforming advanced AI capabilities into intuitive experiences.
You'll do it using: 5+ years of proven experience architecting and delivering complex, scalable front-end ecosystems from the ground up. Expert proficiency in React and TypeScript Deep understanding of modern state management (e.g., TanStack Query, Zustand) and UI performance optimization. Hands-on experience leveraging AI-driven development ecosystems (Cursor, Claude Code, GitHub Copilot) to optimize engineering workflows. Strong familiarity with applied AI concepts (GenAI, LLMs, AI Agents, Evaluation Metrics, MCP).
?Advantage: Experience with E2E testing frameworks (strong preference for Playwright). Practical experience building UI for LLMs, including handling streaming responses, chat interfaces, and AI SDKs. Full-stack capabilities (Python/Node.js microservices) and a willingness to work across the stack. Familiarity with containerized environments and CI/CD (Docker, Kubernetes, Jenkins).
?You’ll Excel By: Demonstrating extreme ownership and thriving in an autonomous, high-velocity environment. Embracing new workflows and continuously pushing the boundaries of what AI coding assistants can achieve. Solving complex technical challenges with clean, analytical, and maintainable solutions. Maintaining a user-centric mindset when transforming advanced AI capabilities into intuitive experiences.
This position is open to all candidates.
