Chief Full Stack Software Engineer

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/Type Script/Vue and Python microservices on AWS. Apply now to help scale trusted AI experiences across the organization

Responsibilities

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 Lang Chain or Llama Index 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

Requirements

Proven track record with React, Type Script, 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 Lang Chain or Llama Index 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

Nice to have Familiarity with real-time streaming UX patterns such as SSE/Web Sockets, 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 Lang Chain, Lang Graph, or Llama Index orchestration

Familiarity with RAG pipelines, vector search tools like Pinecone or Open Search, and embedding concepts

Background in AI evaluation tooling, feedback loops, and guardrails in user interfaces

We offer

International projects with top brands

Work with global teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the Linked In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and Linked In