Lead Software Engineer, Applied AI (Frontend Leading)

Our Business Technology organization builds secure and intelligent internal platforms that power our global workforce. As a Lead Software Engineer, Applied AI (Frontend Leading), you will build intuitive, performant user interfaces and frontend integration libraries that make Generative AI (GenAI) and intelligent automation accessible and useful across IT, HR, Finance, Sales, Marketing, and Customer Support.

In this role, you will bridge the gap between complex LLM orchestration and enterprise user experience, ensuring our internal teams can seamlessly adopt and trust AI-driven tools.

Responsibilities

• Design and build end-to-end GenAI-powered applications, emphasizing intuitive web-based UIs and performant client-side API integrations

• Develop responsive, accessible frontend interfaces using React, TypeScript, or Vue, engineered for streaming responses and low latency

• Build and maintain a library of reusable frontend components, hooks, and design systems for enterprise GenAI applications

• Implement LLM-based experiences using frameworks like LangChain or LlamaIndex with leading model providers (OpenAI, Claude, Gemini, etc.)

• Collaborate closely with designers and product managers to iterate rapidly on novel AI UX patterns (chat assistants, prompt builders, feedback loops)

• Ensure top-tier security, accessibility (a11y), observability, and test coverage across client-side and full-stack implementations

Requirements

• Frontend Mastery: 5+ years of production experience with React, TypeScript, or Vue for enterprise web applications

• Engineering Seniority: 5–8 years of software engineering experience across the full web stack (frontend UIs, REST APIs, microservices)

• AI Application Integration: 2+ years of experience integrating GenAI features, LLM APIs, and prompt UI patterns into web applications

• Python & Cloud Services: Strong Python backend development skills and 2+ years of experience consuming/building cloud microservices on AWS, Docker, and REST APIs

• Component Libraries: Proven experience building, documenting, and maintaining reusable component libraries, design systems, and custom hooks

Nice to have

• Conversational UX & Streaming: Real-time streaming UX patterns (SSE/WebSockets), prompt builders, citations, and summary UI components

• Web Accessibility (a11y): Deep knowledge of WCAG 2.1 AA compliance and accessible UI component architecture

• LangChain for JavaScript: Client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestration

• RAG & Vector Search: Familiarity with RAG pipelines, vector search (Pinecone, OpenSearch), and embedding concepts

• AI Evaluation & UX: Experience with AI evaluation tooling, feedback loops, and guardrails in user interfaces

We offer/Benefits

• Medical, Dental and Vision Insurance (Subsidized)

• Health Savings Account

• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

• Short-Term and Long-Term Disability (Company Provided)

• Life and AD&D Insurance (Company Provided)

• Employee Assistance Program

• Unlimited access to LinkedIn learning solutions

• Matched 401(k) Retirement Savings Plan

• Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)

• Paid Holidays - nine (9) total per year

• Legal Plan and Identity Theft Protection

• Accident Insurance

• Employee Discounts

• Pet Insurance

• Employee Stock Purchase Program

• If otherwise eligible, participation in the discretionary annual bonus program

• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program