Senior Full Stack Software Engineer

We are hiring a Senior Full Stack Software Engineer to build fast, intuitive web interfaces and frontend integration libraries for GenAI and intelligent automation. You will deliver accessible, low-latency UI patterns and reusable components while connecting to LLM APIs and cloud microservices. Responsibilities Design and deliver end-to-end GenAI-powered applications with an emphasis on intuitive web UIs and efficient client-side API integrations Build responsive, accessible frontend experiences optimized for streaming responses and low latency Develop and maintain reusable frontend component libraries, hooks, and design systems for enterprise GenAI apps Implement LLM-driven experiences using frameworks such as LangChain or LlamaIndex together with OpenAI, Claude, or Gemini Collaborate with designers and product managers to iterate quickly on AI UX patterns like chat assistants, prompt builders, and feedback loops Ensure security, accessibility, observability, and robust test coverage across client-side and full-stack work Create high-performance, accessible web UIs for AI interactions including streaming text, prompt inputs, citations, and summaries Maintain shared libraries of reusable frontend components and hooks to help internal teams embed GenAI capabilities into their applications Build UI components that provide transparency, observability, and trust in AI-generated outputs Requirements 3+ years of experience building production apps with React, TypeScript, or Vue for enterprise use cases Solid full-stack software engineering background across frontend UIs, REST APIs, and microservices Practical experience integrating GenAI features, LLM APIs, and prompt UI patterns into web-based applications Strong Python backend skills, plus experience building and consuming cloud microservices on AWS, Docker, and REST APIs Proven track record creating, documenting, and maintaining reusable component libraries, design systems, and custom hooks English proficiency at a B2+ level (Upper-Intermediate) or higher Nice to have Familiarity with real-time streaming UX patterns such as SSE/WebSockets, prompt builders, citations, and summary UI components Knowledge of WCAG 2.1 AA compliance and approaches for architecting accessible UI components Practical experience 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