We are seeking a highly skilled Senior Full Stack Engineer with deep expertise in TypeScript and Node.js , and hands-on experience building AI-driven, agentic systems. In this role, you will help shape the future of digital experiences by advancing a fully AI-native architecture, including intelligent agents, dynamic user interfaces, and scalable infrastructure. You will collaborate closely with engineering leadership, contributing to both new feature development and production support for innovative AI-powered platforms. Req: [redacted] Responsibilities Design and develop scalable backend services using Node.js and TypeScript Build and extend agentic systems leveraging LangGraph (Node.js ecosystem) Enhance and maintain agent infrastructure, including: Memory and session management File spaces and document handling Evaluation frameworks (e.g., Morpheus) Contribute to the development of AI-powered user experiences, such as: Evolving native web experiences toward an "AI-native" platform Developing an AI Center (subject to business direction) Building AI-driven dashboards (e.g., Digital Advisor for Client Assist use cases) Develop reusable Stencil web components, integrated into Angular-based applications (e.g., EAA) Work across the full stack with balanced frontend and backend responsibilities Provide 24/7 production support coverage, including participation in on-call rotations, incident handling, and timely resolution of production issues Collaborate directly with engineering leads and distributed teams Requirements Strong proficiency in TypeScript (core requirement) Solid backend development experience with Node.js Hands-on experience building full-stack applications Experience with component-based frontend architectures Understanding of system design, scalability, and performance optimization Nice to have Experience with LangGraph (Node.js) or similar agent orchestration frameworks Hands-on experience building AI/agentic systems, including: LLM integration (OpenAI, Anthropic, etc.) Agent workflows and orchestration Memory and context management Experience with evaluation frameworks for AI systems (e.g., model evaluation, validation pipelines) Familiarity with Stencil web components and integration into Angular applications Experience building AI-driven products or dashboards Exposure to evolving AI-native UX patterns