Senior UI Engineer - AI Visualization Platform

Mastercard; Leixlip; On-site; EUR 90,000 - 120,000; Full time

Job summary

Mastercard is seeking a Senior UI Developer to join an AI product team building foundation model capabilities with enterprise impact. You will design and develop frontend applications for internal tooling and external self-service tools, turning complex model outputs into intuitive user experiences.

You will work with AI engineers, data scientists, and software teams to implement robust UI architectures, visualizations, and interaction patterns across Databricks Apps and catalog constraints.

Qualifications

• Strong frontend development experience in React or Python-based data-apps like Streamlit or Dash.
• Experience building maintainable frontend architectures and reusable components.
• Experience integrating frontend with REST APIs, handling auth, and API versioning.
• Familiarity with advanced visualization libraries (D3.js, Plotly, deck.gl).
• Knowledge of Databricks Apps hosting and Unity Catalog basics.
• Strong UI/UX sense and ability to balance technical and user needs.

Responsibilities

• Design and build interactive frontend visualizations for AI model outputs.
• Develop self-service frontend applications and internal tooling.
• Collaborate with AI, data, and backend teams to define interfaces.
• Ensure frontend quality with tests and CI/CD integration.
• Support production issues spanning frontend and backend layers.

Skills

React

Streamlit

Dash

REST APIs

D3.js

deck.gl

Plotly

Databricks Apps

Unity Catalog

UI/UX design

SQL

Tools

Databricks

CI/CD pipelines

Job description

Mastercard is seeking a Senior UI Developer to join an AI product team building foundation model capabilities with enterprise impact. You will design and develop frontend applications for internal tooling and external self-service tools, turning complex model outputs into intuitive user experiences.

You will work with AI engineers, data scientists, and software teams to implement robust UI architectures, visualizations, and interaction patterns across Databricks Apps and catalog constraints.