Senior Cloud AI Engineer

About Us

Our leading SaaS-based Global Growth 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.

At G-P, our mission is to break down barriers to global business, enabling opportunities for everyone, everywhere.

This role is part of our AI Team building GIA, our AI-powered product that:

• Acts as an expert employment lawyer on one shoulder and an HR leader on the other
• Helps companies navigate complex global employment challenges with intelligence and ease

What makes this role unique:

• You’ll join a small, startup-structured team within the larger G-P organization.
• Passionate about building and defining early stage products.
• You’ll be helping to build GIA from the ground up — shaping both the product and the underlying tech
• We’re seeking individuals with a strong product mindset and expert-level engineering skills
• You must thrive in fast-paced, ambiguous environments where direction isn’t always handed to you

• You’ll need to be highly independent and self-directed
• Must know how to identify what to build next, without always being told
• Expect to wear multiple hats and contribute across the stack
• While collaboration is essential, you must also lead as an individual contributor

Important note:

If you’re not prepared to operate at this level or aren’t excited by the challenge — this role may not be the right fit.

About the Role:

If you have a passion for AI and MlOps, are a deep innovator, and want to solve complex problems that lead to a world of positive results, consider G-P. Here, your knowledge and experience will be crucial to helping design and develop high-performing cloud-based software products using traditional Agile methodologies and modern frameworks.  

Beyond a competitive compensation and benefits package, what we offer to all employees along the way is the clear and simple promise of Opportunity Made Possible. Come expand your skills in new ways and experience the thrill of your best innovations becoming reality.  

Key Responsibilities:

• Collaborate with data scientists and engineers to containerize, deploy, and maintain machine learning models and APIs within our cloud infrastructure.
• Lead the design and development of cloud-native applications and services, using AWS offerings such as ECS, Lambda, and API Gateway.
• Implement practical MLOps workflows to support model packaging, inference pipelines, observability, and versioning — focusing on performance, auditability, and scalability.
• Build and manage Terraform modules to provision secure, cost-effective, and maintainable infrastructure.
• Create CI/CD pipelines (e.g., GitHub Actions) to automate the deployment and monitoring of models, services, and supporting tools.
• Design and support production-grade systems with robust monitoring, alerting, and metrics using CloudWatch or third-party tools like New Relic.
• Work across Python, NodeJS, and React-based applications, ensuring model services integrate smoothly with internal APIs and UIs.

Requirements:

• 5+ years in software engineering, with a strong emphasis on cloud-native development and deployment practices.
• Expert-level knowledge of Python, particularly for backend service development and data/ML tooling.
• Hands-on experience with AWS services including ECS, Lambda, API Gateway, IAM, and CloudWatch.
• Proficiency with infrastructure-as-code using Terraform, with a clear understanding of secur