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.