G-P
SaaS
SoftwareEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer II at G-P. Skills: AI-Powered SDLC, Full-stack applications, Cloud architectures. Drive AI-Powered SDLC. Embed AI into engineering workflow”
Industry & Context.
Solve complex practical challenges
What They're Looking For.
Must Have
Full-stack capability, AI-First Mindset, Rock-Solid Fundamentals, High Agency & Ownership
Nice to Have
AWS experience is a major plus, Thrived in a startup or high-growth environment
What You'll Do.
Drive AI-Powered SDLC
Embed AI into engineering workflow
Automated requirement parsing
Production deployment
Build and test prototypes
Scale prototypes to enterprise-grade features
Solve complex practical challenges
Full Job Description
About Us Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere. Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated. The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work. At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all. About This Position We aren’t just building software; we are reimagining how software is built. We are looking for an engineer who is AI-native at their core—someone who doesn't just use AI as a tool, but thinks through an AI lens from day one. In this role, you will leverage AI across the entire software development lifecycle (SDLC), from automated requirement gathering and architectural design to code generation and production monitoring. If you are tired of rigid, legacy agile rituals and want to spend your energy actually building, experimenting, and solving hard problems with a high degree of autonomy, this is your playground. What You Will Do Drive AI-Powered SDLC: Lead the charge in embedding AI into every phase of our engineering workflow—from initial design and automated requirement parsing to production deployment. Prototype to Production: Rapidly build and test bleeding-edge prototypes, then apply core engineering principles to scale them into robust, enterprise-grade features. Thi
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