Full-Stack Engineer for AI-Powered Logistics Platform

Loop; San Francisco (CA); On-site; USD 145,000 - 205,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) match

Paid time off

Paid holidays

Parental leave

Job summary

Loop is an AI-native company transforming the global supply chain with a data-driven platform that turns fragmented data into a trusted foundation for automation and decision intelligence. As a full-stack engineer, you will work closely with founders and customers to understand billing and payment pain points, help define the product, and ship features that directly impact our customers.

You will tackle complex technical challenges across the stack while receiving guidance from the team, shaping

Qualifications

• Two years of software engineering experience.
• Experience with TypeScript and tools such as GraphQL, Relay, React, and Node.js.

Responsibilities

• Collaborate cross-functionally with product, design, and sales to understand requirements and ship thoughtful solutions.
• Write high-quality code optimized for extensibility.
• Engage in code reviews to maintain engineering excellence.
• Lead discussions and documentation to communicate and decide on technical design.
• Work across frontend, backend, and infrastructure layers.
• Adopt AI technologies to accelerate development and promote AI tools adoption.
• Share technical knowledge and best practices across the team.
• Help grow Loop through feedback on product, process, and culture.

Skills

Software engineering

Tools

TypeScript

GraphQL

Relay

React

Node.js

Job description

Loop is an AI-native company transforming the global supply chain with a data-driven platform that turns fragmented data into a trusted foundation for automation and decision intelligence. As a full-stack engineer, you will work closely with founders and customers to understand billing and payment pain points, help define the product, and ship features that directly impact our customers.

You will tackle complex technical challenges across the stack while receiving guidance from the team, shaping