Frontend Engineer at Lightning AI

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Proficiency in React, JavaScript, and TypeScript
Strong understanding of software engineering principles and lifecycle
Hands-on experience as a frontend engineer in a SaaS technology company
Proven ability to take ownership of key features and drive end-to-end development
Communication and collaboration with engineers, product managers, and designers
Ability to operate in high uncertainty and rapidly changing environments

Responsibilities

Write readable/testable/efficient code in React and Redux and master our technology stack to deliver new features, improve system stability, and increase overall performance
Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects
Evaluate, strengthen, and document technical architecture, tools, and processes
Champion software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt
Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow

Skills

JavaScript

React

TypeScript

HTML

CSS

UI Development

Frontend Infrastructure

Lightning AI

AI development platform for coding and deployment

About Lightning AI

Lightning AI provides a platform for developing artificial intelligence applications, supporting users throughout the entire AI lifecycle from initial ideas to final deployment. The platform is accessible via web browsers, allowing developers and data scientists to easily code, prototype, and train AI models using GPUs without needing extensive setup. It operates on a subscription model, offering a cloud-based AI Studio that functions like a virtual laptop with persistent storage and environments. This setup enables users to code on CPUs, debug on GPUs, and scale their projects across multiple nodes. Key features of the platform include tools like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics, which help in optimizing and scaling AI models. Lightning AI aims to provide a user-friendly and comprehensive solution for both enterprises and individual developers looking to enhance their AI development capabilities.

New York City, New YorkHeadquarters

2015Year Founded

$105.6MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

51-200Employees