Senior Full Stack Engineer (TypeScript, Node.js)
Role details
Job location
Tech stack
Job description
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: 1031209604
Responsibilities
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Design and develop scalable backend services using Node.js and TypeScript
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Build and extend agentic systems leveraging LangGraph (Node.js ecosystem)
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Enhance and maintain agent infrastructure, including: memory and session management, file spaces and document handling, evaluation frameworks (e.g., Morpheus)
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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)
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Develop reusable Stencil web components, integrated into Angular-based applications (e.g., EAA)
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Work across the full stack with balanced frontend and backend responsibilities
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Provide 24/7 production support coverage, including participation in on-call rotations, incident handling, and timely resolution of production issues
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Collaborate directly with engineering leads and distributed teams
Requirements
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Strong proficiency in TypeScript (core requirement)
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Solid backend development experience with Node.js
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Hands-on experience building full-stack applications
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Experience with component-based frontend architectures
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Understanding of system design, scalability, and performance optimization
Nice to have
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Experience with LangGraph (Node.js) or similar agent orchestration frameworks
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Hands-on experience building AI/agentic systems, including: LLM integration (OpenAI, Anthropic, etc.), agent workflows and orchestration, memory and context management
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Experience with evaluation frameworks for AI systems (e.g., model evaluation, validation pipelines)
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Familiarity with Stencil web components and integration into Angular applications
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Experience building AI-driven products or dashboards
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Exposure to evolving AI-native UX patterns