Chief Full Stack Software Engineer

Role Description

We are hiring a Chief Full Stack Software Engineer to deliver intuitive, high-speed web interfaces and integration libraries for GenAI and smart automation. You will build reusable UI foundations and connect streaming AI experiences to APIs and microservices across business teams. Apply today.

• Architect and deliver end-to-end GenAI applications, emphasizing intuitive web UIs and fast client-side API integrations.
• Design responsive and accessible frontend experiences built for streaming outputs and low-latency interactions.
• Build and maintain reusable component libraries, hooks, and design systems for enterprise GenAI applications.
• Implement LLM-driven user journeys using LangChain or LlamaIndex with OpenAI, Claude, or Gemini.
• Collaborate with designers and product managers to iterate quickly on AI UX patterns such as chat assistants, prompt builders, and feedback loops.
• Ensure security, accessibility, observability, and comprehensive testing across client-side and full-stack work.
• Create responsive, accessible, high-performance web UIs for AI interactions including streaming text, prompt inputs, citations, and summaries.
• Maintain a shared library of reusable frontend components and hooks so teams can embed GenAI capabilities into their applications.
• Develop UI components that improve transparency, observability, and trust in AI-generated outputs.

Qualifications

• Extensive experience of 7+ years delivering production enterprise apps with React, TypeScript, or Vue.
• Proven full-stack background of 7+ years across frontend UIs, REST APIs, and microservices.
• Hands-on experience of 3+ years embedding GenAI features, LLM APIs, and prompt UI patterns in web applications.
• Solid Python backend skills, plus 3+ years building and consuming cloud microservices on AWS, Docker, and REST APIs.
• Demonstrated ability to build, document, and maintain reusable component libraries, design systems, and custom hooks.
• English proficiency at a B2+ level or higher.

Requirements

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