Full-Stack Software Engineering Manager

We are looking for a Full-Stack Software Engineering Manager to create intuitive, high-speed web experiences and frontend integration libraries for GenAI and automation. In this role, you will develop enterprise-ready UIs, reusable components, and client-side integrations for LLM features across internal teams while collaborating with product and design on conversational UX patterns.

Responsibilities

• Architect and ship end-to-end GenAI-powered applications, focusing on intuitive web-based UIs and high-performing client-side API integrations
• Design responsive, accessible frontend experiences fine-tuned for streaming responses and low latency
• Build and sustain a reusable library of frontend components, hooks, and design systems for enterprise-grade GenAI applications
• Implement LLM-based experiences leveraging frameworks such as LangChain or LlamaIndex paired with OpenAI, Claude, or Gemini
• Partner with designers and product managers to quickly iterate on AI UX patterns, including chat assistants, prompt builders, and feedback loops
• Guarantee security, accessibility, observability, and thorough test coverage across client-side and full-stack work
• Craft responsive, accessible, high-performance web UIs tailored to AI interactions such as streaming text, prompt inputs, citations, and summaries
• Manage a shared library of reusable frontend components and hooks so internal teams can embed GenAI capabilities into their own applications
• Develop UI components that deliver transparency, observability, and trust in AI-generated outputs

Requirements

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

Nice to have

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