Senior AI Platform Engineer

Yellow Card is the largest and first licensed on/off-ramp platform for stablecoins in Africa. We are now expanding our reach into new global markets , evolving into a premier B2B financial technology provider. Our mission is to build the infrastructure that enables seamless financial inclusion and cross-border commerce for institutional partners worldwide. Role Purpose 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 , and 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. What You’ll Do Unified Tooling Execution: Architect, deploy, and manage internal automation platforms and AI orchestration tools across a unified technical environment, including Kubernetes (EKS) , AWS Serverless , and specialized local deployment configurations . AI Observability & FinOps: Implement scalable logging and monitoring for AI model usage to provide clear visibility into LLM-related expenditures and token budgets. AI-Driven Automation: Build "Human-in-the-Loop" (HITL) processes to streamline broad operational workflows—including, but not limited to, infrastructure patching and maintenance—leveraging AI and automation to eliminate toil across the entire engineering lifecycle. Custom Tooling & Extensibility: Leverage interface protocols (such as MCP) to build custom internal tools and API integrations where first-party or open-source solutions do not exist, extending the capabilities of our AI agents. Usage & Cost Dashboards: Design and maintain dashboards that track operational costs across the organization, providing data-driven insights to leadership. Reliability & Performance: Execute service capacity planning and system tuning for internal AI tools to ensure they meet high availability standards. Security & Compliance: Partner with SecOps to ensure all internal AI tools adhere to rigorous security standards and maintain a minimal vulnerability window. Internal Enablement: Create "Golden Paths" and technical documentation to democratize access to AI tooling and upskill product engineering teams. What You Bring Experience: 7+ years of hands-on technical experience with large-scale production environments and infrastructure. Cloud & Versatility: In-depth knowledge of AWS architecture (Serverless, Lambda, EKS) and a proven ability to manage diverse environments, including optimized local developer setups. Modern Tooling: Strong grasp of Kubernetes, microservices, and CI/CD principles (GitHub Actions). AI/LLM Infrastructure: Practical experience setting up the infrastructure required to run, monitor, and scale AI-driven applications or internal developer tooling. Technical Adaptability: A proven ability to learn and master new technologies on the fly, recognizing that AI-driven infrastructure and emerging protocols evolve rapidly. Operational Excellence: Solid understanding of performance monitoring tools and a knack for troubleshooting complex production environments to maintain system reliability. Growth Mindset: You proactively identify opportunities to upskill the team and integrate cutting-edge solutions that improve platform performance. Perks & Responsibilities Remote Work: Flexible, fully remote work setting. Global Impact: Be part of a team shaping the future of global FinTech and stablecoin accessibility. Autonomy: Direct ownership over complex projects, from the initial architectural design to global production delivery. Growth: Continuous opportunities to upskill and explore cutting-edge tech like AI integrations. Balance: On-call rotations designed with a focus on maintaining a healthy work-life balance.