Full Stack Software Engineering Manager

We are seeking a Full Stack Software Engineering Manager to deliver intuitive, high-speed web experiences and frontend integration libraries for GenAI and automation. You will build enterprise-ready UIs, reusable components, and client-side integrations for LLM features across internal teams while partnering with product and design on conversational UX patterns. Apply now.

Responsibilities

• Architect and deliver end-to-end GenAI-powered applications, emphasizing intuitive web-based UIs and high-performing client-side API integrations
• Design responsive, accessible frontend experiences optimized for streaming responses and low latency
• Build and maintain a reusable library of frontend components, hooks, and design systems for enterprise-grade GenAI applications
• Implement LLM-based experiences using frameworks such as LangChain or LlamaIndex paired with OpenAI, Claude, or Gemini
• Collaborate with designers and product managers to rapidly iterate on AI UX patterns such as chat assistants, prompt builders, and feedback loops
• Ensure security, accessibility, observability, and comprehensive test coverage across client-side and full-stack work
• Create responsive, accessible, high-performance web UIs tailored to AI interactions like streaming text, prompt inputs, citations, and summaries
• Maintain a shared library of reusable frontend components and hooks so internal teams can integrate GenAI capabilities into their own applications
• Develop UI components that provide transparency, observability, and trust in AI-generated outputs

Requirements

• Proven 8+ years building production applications with React, TypeScript, or Vue for enterprise use cases
• Extensive 8+ years of full-stack software engineering across frontend UIs, REST APIs, and microservices
• Hands-on 4+ years integrating GenAI capabilities, LLM APIs, and prompt UI patterns into web-based applications
• Solid Python backend skills, plus 4+ years building and consuming cloud microservices on AWS, Docker, and REST APIs
• Demonstrated history of creating, documenting, and maintaining reusable component libraries, design systems, and custom hooks
• English proficiency at a B2+ level or higher

Nice to have

• Experience with real-time streaming UX patterns, including SSE/WebSockets, prompt builders, citations, and summary UI components
• Knowledge of WCAG 2.1 AA compliance and approaches for architecting accessible UI components
• Hands-on experience with client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestration
• Familiarity with RAG pipelines, vector search platforms like Pinecone or OpenSearch, and embedding fundamentals
• Exposure to AI evaluation tools, feedback loop design, and interface-level guardrails