Lead AI-Driven Full-Stack Engineer

Mastercard Inc.; México; On-site; MXN 1,200,000 - 2,000,000; Full time

Job summary

Mastercard is seeking a Lead Software Engineer (Full stack) in MX to drive the design and delivery of secure, scalable agentic applications and AI-powered services. You will lead cross-functional collaboration, establish patterns for production AI systems, and ensure robust deployment and governance across enterprise platforms.

The role requires senior hands-on engineering leadership, strong backend (Java/Python), frontend (React/Next.js), and cloud-native experience, with a focus on responsible

Qualifications

• Bachelor’s degree in computer science, software engineering, or a related technical field.
• +10 years software engineering experience with production systems.
• Hands-on AI-powered product experience and agentic applications.
• Experience with LLMs, orchestration, tool-calling patterns, and context-aware workflows.
• Proficient in backend (Java or Python) and frontend (React/Next.js).
• Strong security, observability, and governance practices.

Responsibilities

• Lead hands-on architecture, design, and implementation of agentic applications and AI-powered services.
• Define patterns and best practices for production AI systems, including monitoring and guardrails.
• Drive end-to-end software delivery across the SDLC from discovery to production operations.
• Improve SDLC efficiency and release quality using AI tools.
• Mentor engineers and provide technical leadership across the team.
• Shape technical roadmaps and influence architecture for scale and reuse.

Skills

Java/Python

React/Next.js

Cloud-native

AI/LLM frameworks

DevSecOps

Education

Bachelor’s degree in Computer Science or related field

Tools

Kubernetes

AWS

Azure

GCP

React

Job description

Mastercard is seeking a Lead Software Engineer (Full stack) in MX to drive the design and delivery of secure, scalable agentic applications and AI-powered services. You will lead cross-functional collaboration, establish patterns for production AI systems, and ensure robust deployment and governance across enterprise platforms.

The role requires senior hands-on engineering leadership, strong backend (Java/Python), frontend (React/Next.js), and cloud-native experience, with a focus on responsible