Fullstack Engineer at Lightning AI

London, England, United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Software DevelopmentIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science or a related field, along with at least 3 years of experience in full-stack software development. Strong proficiency in React and either Python or Go (Golang) is required, as well as experience with building and scaling platforms.

Responsibilities

The Fullstack Engineer will write readable, testable, and efficient code for the Lightning AI platform, focusing on developing and scaling the frontend, CLI, and API. They will collaborate with engineering and product leaders to deliver new features, improve system stability, and increase overall performance, while also evaluating and strengthening technical architecture, tools, and processes. Additionally, they will champion software quality, implement automation, drive continuous delivery, reduce time to production, proactively reduce technical debt, mentor and coach engineers, and create a supportive and inclusive environment for growth.

Skills

React

Python

CLI

API

Billing

Security

Integrations

Software Development

Code Review

Testing

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

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Flexible Paid Time Off

Paid Family Leave

Phone/Internet Stipend

Home Office Stipend

Professional Development Budget

Gym Membership

Mental Health Support

Stock Options

Risks

Open-source models like Dolly and Alpaca challenge Lightning AI's proprietary offerings.

Rapid AI development may outpace Lightning AI's innovation capabilities.

Dependence on AWS could affect cost structure if service terms change.

Differentiation

Lightning AI offers a comprehensive AI lifecycle platform from ideation to deployment.

The platform's integration with AWS Marketplace simplifies enterprise procurement processes.

PyTorch Lightning's popularity supports Lightning AI's open-source framework approach.

Upsides

Recent $50M funding round indicates strong market confidence in Lightning AI.

Thunder compiler speeds up AI model training, reducing costs significantly.

Collaboration with AWS enhances AI model performance using cutting-edge hardware.

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