Frontend Engineer - AI Platform and User Experience

Lenovo•Morrisville, NC

5d•$152,000 - $233,105•Remote

About The Position

Lenovo is building a team focused on creating a solution for managing and optimizing costs for token spend and other enterprise AI services. This platform will offer model orchestration, token accounting, cost controls, security governance, usage analytics, and API management. It aims to enable organizations to securely scale AI adoption while maintaining visibility, compliance, and budget control across diverse AI workloads and ecosystems. This is a remote role, available anywhere in the U.S.

Requirements

Bachelor's degree or above in Computer Science, Software Engineering, or equivalent experience.
Proficiency in at least one modern front-end framework (React, Vue.js, or Angular).
5-10+ years of experience with high-scale distributed systems and cloud-native development
Strong expertise in HTML5, CSS3, and responsive design principles.
Experience with front-end performance optimization tools and techniques.
Experience with build tools such as Webpack and package management.

Nice To Haves

Experience leveraging AI-assisted development tools and modern engineering productivity platforms is a plus.
Experience building real-time dashboards, operational monitoring platforms, or data visualization interfaces.

Responsibilities

Collaborate with product teams and UI/UX designers to create interactive experiences.
Create effective user experience workflows and user interactions for improved usability.
Implement responsive design principles and ensure cross-browser compatibility.
Troubleshoot and resolve front-end issues in collaboration with back-end developers.
Analyze error logs, browser console messages, and code logic to identify root causes.
Implement timely fixes to ensure stable product operation.
Analyze and improve front-end performance using techniques such as code splitting, lazy loading, and resource compression.
Monitor performance metrics and implement continuous optimizations.
Ensure fast page load times and seamless user experience.
Experience integrating AI-powered user experiences such as chat interfaces, copilots, conversational AI, or LLM-driven workflows.
Familiarity with consuming AI/ML APIs and streaming inference responses in front-end applications.