[Hiring] Chief Full Stack Software Engineer @EPAM Systems

Role Description

We are building GenAI-powered web experiences with intuitive UI and low-latency integrations to bring automation into everyday enterprise workflows. As a Chief Full Stack Software Engineer, you will lead frontend UX patterns, reusable component libraries, and full-stack delivery across React/TypeScript/Vue and Python microservices on AWS. Apply now to help scale trusted AI experiences across the organization.

• Architect and deliver end-to-end GenAI-powered applications with intuitive web UIs and fast client-side API integrations.
• Engineer responsive, accessible frontend experiences optimized for streaming responses and low latency.
• Develop and evolve reusable frontend components, custom hooks, and design systems for enterprise GenAI applications.
• Implement LLM-driven features using frameworks like LangChain or LlamaIndex with OpenAI, Claude, or Gemini.
• Partner with designers and product managers to iterate quickly on AI UX patterns including chat assistants, prompt builders, and feedback loops.
• Enforce security, accessibility, observability, and test coverage across client-side and full-stack work.
• Create high-performance, accessible web UIs for AI interaction patterns such as streaming text, prompt inputs, citations, and summaries.
• Maintain shared component and hook libraries so internal teams can embed GenAI capabilities into their applications.
• Deliver UI components that increase transparency, observability, and user confidence in AI-generated outputs.

Qualifications

• Proven track record with React, TypeScript, or Vue in production for enterprise web applications (7+ years).
• Extensive full-stack engineering experience delivering frontend UIs, REST APIs, and microservices (7+ years).
• Hands-on background integrating GenAI features, LLM APIs, and prompt UI patterns into web applications (3+ years).
• Advanced Python backend development skills, including building and consuming cloud microservices on AWS with Docker and REST APIs (3+ years).
• Demonstrated ability to build, document, and maintain reusable component libraries, design systems, and custom hooks.
• English proficiency at B2+ (Upper-Intermediate) level.
• Working knowledge of GraphQL for client-server data interactions.
• Practical experience with LangChain or LlamaIndex in JavaScript/Node.js contexts.
• Familiarity with Model Context Protocol concepts and integration considerations.
• Exposure to React Native for shared UI patterns across web and mobile surfaces.
• Understanding of vector databases and embedding concepts used in RAG-style applications.

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 accessible UI component architecture.
• Skills in client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestration.
• Familiarity with RAG pipelines, vector search tools like Pinecone or OpenSearch, and embedding concepts.
• Background in AI evaluation tooling, feedback loops, and guardrails in user interfaces.