Senior Full Stack Engineer - TypeScript and Node.js

We are seeking a highly skilledFull 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: 1031209604

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