AI-Powered Full Stack Engineer | Data Pipelines & LLMs

Mondelēz International; Madrid; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Mondelēz International is hiring Full Stack AI Engineers to join a growing engineering team building an AI-powered insights platform. You will work across data engineering, AI/ML, and full stack development to turn raw market data into decision-ready recommendations for global, regional, and local teams.

You will collaborate with Product, Data Science, and Business stakeholders to translate requirements into technical designs, user stories, and working software, while contributing to platform

Formación

• Proficient in Python and building production-grade applications or pipelines.
• Experience in full stack development, AI/ML engineering, or data engineering with willingness to broaden across disciplines.
• Hands-on with cloud platforms, especially AWS, and Databricks tools.

Responsabilidades

• Design, build, and maintain data pipelines ingesting and serving market data.
• Develop and deploy AI/ML models and LLM-based workflows.
• Build full stack applications to surface AI insights for business users.
• Implement monitoring, logging, and alerting for pipelines and models.
• Collaborate with Product, Data Science, and Business stakeholders to translate requirements.
• Contribute to platform architecture including IaC (Terraform) and containerization (Docker).
• Write clean, tested code and participate in code reviews and sprints.

Conocimientos

Python

Full stack development

AI/ML engineering

Data engineering

AWS cloud

Databricks

LangChain LangGraph

React/Next.js

REST GraphQL API design

CI/CD

Docker

Terraform

Git

Herramientas

Databricks

LangChain/LangGraph

Unity Catalog

AWS

Docker

Terraform

Descripción del empleo

Mondelēz International is hiring Full Stack AI Engineers to join a growing engineering team building an AI-powered insights platform. You will work across data engineering, AI/ML, and full stack development to turn raw market data into decision-ready recommendations for global, regional, and local teams.

You will collaborate with Product, Data Science, and Business stakeholders to translate requirements into technical designs, user stories, and working software, while contributing to platform