Lead AI Full Stack Engineer

About the job

Overview As a Lead AI Full Stack Engineer, on the AI Foundations team, you will play a critical role in architecting and delivering end-to-end AI / ML solutions. You will combine deep full stack engineering expertise with a strong understanding of AI systems to build intuitive user interfaces and scalable backend services that bring machine learning insights to life. Your role End-to-End Development : Lead the full lifecycle of AI-powered applications, from frontend user experience design to backend service development and integration with AI / ML models. Backend Engineering : Develop robust backend services and APIs that manage model training, inference, data pipelines, and agentic workflows. Implement scalable data ingestion, event-driven architectures, and microservices that support real-time agent interactions. Frontend Engineering : Design and maintain responsive, user-friendly interfaces that enable users to interact with AI models and data. API Design : Develop high-performance APIs for internal and external use, ensuring seamless integration across systems. Performance Optimisation : Identify and resolve bottlenecks across the stack, including frontend responsiveness, backend efficiency, and model inference latency. Optimise agentic workflows for speed, scalability, and reliability. Technical Leadership : Provide mentorship and guidance to junior engineers; Champion best practices in architecture, development, and AI operationalisation exerting influence across all levels. Cross-Functional Collaboration : Work closely with data scientists, AI engineers, product managers, and stakeholders to translate business needs into technical solutions. Collaborate with cross-functional teams (Data & AI Ops, Privacy, AI Governance, Info Security, Architecture & Technonology, BizOps etc) to design development patterns fit for productionizing and scale. Security & Compliance : Ensure all solutions adhere to organisational security standards, data governance policies, and compliance requirements.

Requirements

• Full Stack Development
• AI/ML
• Node.js
• Python
• React
• Microservices

Qualifications

• 10+ years of experience
• 7+ years in full stack software development

Preferred Technologies

• Full Stack Development
• AI/ML
• Node.js
• Python
• React
• Microservices

About the company

Mastercard is a global technology company in the payments industry, bringing a broad spectrum of world-class services while prioritizing security, user experience, and operational excellence. Its culture emphasizes collaboration, respect, and a focus on delivering distinctive customer service.