Senior AI Platform Engineer

Role Description

As the Senior AI Platform Engineer, you will be the hands-on builder responsible for turning our AI infrastructure strategy into a technical reality. You will execute the specialized engineering work required to integrate AI-driven workflows and internal tooling across:

• Kubernetes (EKS)
• AWS Serverless
• Local developer environments

Success in this role requires a critical ability to adapt and learn; you will stay ahead of the curve as we integrate emerging AI protocols and evolve our platform to meet the high-stakes demands of a global B2B landscape.

Qualifications

• 7+ years of hands-on technical experience with large-scale production environments and infrastructure.
• In-depth knowledge of AWS architecture (Serverless, Lambda, EKS) and a proven ability to manage diverse environments, including optimized local developer setups.
• Strong grasp of Kubernetes, microservices, and CI/CD principles (GitHub Actions).
• Practical experience setting up the infrastructure required to run, monitor, and scale AI-driven applications or internal developer tooling.
• A proven ability to learn and master new technologies on the fly, recognizing that AI-driven infrastructure and emerging protocols evolve rapidly.
• Solid understanding of performance monitoring tools and a knack for troubleshooting complex production environments to maintain system reliability.
• You proactively identify opportunities to upskill the team and integrate cutting-edge solutions that improve platform performance.

Requirements

• Architect, deploy, and manage internal automation platforms and AI orchestration tools across a unified technical environment.
• Implement scalable logging and monitoring for AI model usage to provide clear visibility into LLM-related expenditures and token budgets.
• Build "Human-in-the-Loop" (HITL) processes to streamline broad operational workflows.
• Leverage interface protocols (such as MCP) to build custom internal tools and API integrations.
• Design and maintain dashboards that track operational costs across the organization.
• Execute service capacity planning and system tuning for internal AI tools to ensure they meet high availability standards.
• Partner with SecOps to ensure all internal AI tools adhere to rigorous security standards.
• Create "Golden Paths" and technical documentation to democratize access to AI tooling.

Benefits

• Flexible, fully remote work setting.
• Be part of a team shaping the future of global FinTech and stablecoin accessibility.
• Direct ownership over complex projects, from the initial architectural design to global production delivery.
• Continuous opportunities to upskill and explore cutting-edge tech like AI integrations.
• On-call rotations designed with a focus on maintaining a healthy work-life balance.