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# Chief Full-Stack Software Engineer

- **Company:** EPAM Systems, Inc.
- **Location:** Newtown, PA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Adobe Analytics, Artificial Intelligence, Amazon Web Services, Encodings, Ui Patterns, OpenAI, Search Technologies, Data Streaming, TypeScript, Web Content Accessibility Guidelines, Web Applications, WebSocket, Pinecone, ReactJS, Retrieval-Augmented Generation, Large Language Models, Llamaindex, Generative AI, Backend, Vue.js, Material UI, Front End Software Development, Claude, Google Gemini, Restful APIs, Api Management, OpenSearch, Docker, Microservices
- **Published:** October 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/lm95ki91kb

## About the Role

* Background in delivering production enterprise apps with React, TypeScript, or Vue for 7+ years
 * Expertise in full-stack development spanning frontend UIs, REST APIs, and microservices across 7+ years
 * Proficiency in embedding GenAI features, LLM APIs, and prompt UI patterns in web applications for 3+ years
 * Skills in Python backend development, plus 3+ years building and consuming cloud microservices on AWS, Docker, and REST APIs
 * Showcase of building, documenting, and maintaining reusable component libraries, design systems, and custom hooks
 * Proficiency in English at a B2+ level or higher, * Familiarity with real-time streaming UX patterns, covering SSE/WebSockets, prompt builders, citations, and summary UI components
 * Understanding of WCAG 2.1 AA compliance and approaches to designing accessible UI components
 * Competency in client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestration
 * Knowledge of RAG pipelines, vector search platforms such as Pinecone or OpenSearch, and embedding fundamentals
 * Qualifications in AI evaluation tools, feedback loop design, and interface-level guardrails

## Description

* Architect and deliver end-to-end GenAI applications, prioritizing intuitive web UIs and fast client-side API integrations
 * Design responsive and accessible frontend experiences crafted 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 leveraging LangChain or LlamaIndex with OpenAI, Claude, or Gemini
 * Partner with designers and product managers to iterate quickly on AI UX patterns such as chat assistants, prompt builders, and feedback loops
 * Guarantee security, accessibility, observability, and comprehensive testing across client-side and full-stack work
 * Craft responsive, accessible, high-performance web UIs for AI interactions including streaming text, prompt inputs, citations, and summaries
 * Sustain a shared library of reusable frontend components and hooks so teams can embed GenAI capabilities into their applications
 * Develop UI components that boost transparency, observability, and trust in AI-generated outputs