[Hiring] Senior Full Stack Software Engineer @EPAM Systems

Role Description

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.

• 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

Qualifications

• 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

Requirements

• 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