AI Engineer

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.

G-P helps organizations build global teams in minutes, not months. As part of this mission, we’ve created an indispensable AI agent for HR leaders, G-P Gia™ .

Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over a decade of global employment and legal expertise and 100,000+ vetted articles, Gia analyzes and generates compliant documents and delivers the answers that HR leaders trust — reducing reliance on outside legal counsel and cutting compliance costs by up to 95%.

About The Position:

GIA helps organizations handle compliance and HR work that is complex, high-stakes and full of edge cases. As our Staff AI Engineer, you’ll set the technical direction for how we build, evaluate and run AI systems, and you’ll stay close to the code while you do it. You’ll write production software, make the architectural calls, and help the engineers around you do their best work.

What You Will Do:

Build

1. Write the code that matters most. Design and build production LLM and NLP systems, data pipelines and ML services. Guide critical core components through every stage, moving seamlessly from initial prototyping to production deployment and continuous oversight.
2. Make the system trustworthy. Our users act on what GIA tells them. Build the evaluation, monitoring and traceability that catch failures like hallucinations, show why the system gave an answer, and keep a human in the loop where it matters.

Lead

1. Set the technical direction. Define the architecture and engineering standards for our AI systems, and make the calls on models, build vs. buy, and the trade-offs between accuracy, cost and speed. Explain your reasoning clearly to engineers and leadership.