Software Engineer II - AI-Driven SaaS, Remote

G-; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Generous paid parental leave

Flexible time off

Spending accounts

Medical insurance

Dental insurance

Vision insurance

Sabbatical after 5 years

Job summary

G-P is a leading remote-first SaaS platform helping global teams hire, onboard, and manage talent across 180+ countries. We empower Dream Team members with flexibility, resources, and a culture that values innovation and impact.

We seek an engineer to build cloud-enabled enterprise software using a modern stack. You will prototype ideas, ship production-grade code, and collaborate with Product and UX to turn requirements into high-quality solutions.

Qualifications

• 3 years of experience developing SaaS enterprise software in distributed teams.
• Experience with full-stack web apps using modern frameworks, with knowledge in TypeScript, React, Node.js, APIs.
• Strong knowledge of modern cloud architectures; AWS experience a plus.
• Startup or high-growth environment experience desirable.
• Hands-on experience with AI frameworks in production environments preferred.

Responsibilities

• Use an AI native / AI first approach through the SDLC.
• Iteratively turn ideas into prototypes and production-grade code.
• Design and develop cloud-enabled products across the stack using modern frameworks.
• Raise the bar in quality, operational excellence and engineering excellence.
• Collaborate with Product and User-Experience teams to understand requirements/criteria.

Skills

SaaS development

Full-stack web

Typescript

React

Node.js

APIs

Databases

Cloud AWS

AI frameworks

Job description

G-P is a leading remote-first SaaS platform helping global teams hire, onboard, and manage talent across 180+ countries. We empower Dream Team members with flexibility, resources, and a culture that values innovation and impact.

We seek an engineer to build cloud-enabled enterprise software using a modern stack. You will prototype ideas, ship production-grade code, and collaborate with Product and UX to turn requirements into high-quality solutions.