AI Engineer Intern: Generative AI & Agentic Apps

Ferrovial; Madrid; Presencial; EUR 12.000 - 18.000; Jornada completa

Descripción de la vacante

Ferrovial seeks an intern for the Artificial Intelligence Center of Excellence within the Digital Hub to explore agentic AI and Generative AI applications. You will collaborate with Data Scientists and AI Engineers, building prototypes with Python, connecting models to APIs and enterprise systems.

The role emphasizes learning, teamwork, and hands-on experimentation across construction, highways, energy and digital infrastructures. Strong Python skills and cloud knowledge are valued.

Formación

• Pursuing a Bachelor’s or Master’s degree in a technical field.
• Strong Python fundamentals and software development practices.
• Familiarity with REST APIs and external data sources.
• Experience with Generative AI concepts and prototypes is a plus.
• Interest in learning new AI frameworks and communicating results.

Responsabilidades

• Design, develop, and integrate Generative AI and agentic solutions.
• Build Python components and services for agents to access data sources and APIs.
• Experiment with LLM APIs, prompts, tooling and RAG techniques.
• Analyze business use cases and data requirements.
• Collaborate with Data Scientists and AI Engineers to deploy scalable digital products.
• Contribute to ML / DL / CV initiatives where relevant.
• Document technical work and share findings with teams.

Conocimientos

Python

REST APIs

LLM APIs

Agent frameworks

Git

English (C1)

Educación

Bachelor’s or Master’s in Computer Science / AI / Data Science

Herramientas

Microsoft Agent Framework

Semantic Kernel

LangGraph

LangChain

LlamaIndex

Descripción del empleo

Ferrovial seeks an intern for the Artificial Intelligence Center of Excellence within the Digital Hub to explore agentic AI and Generative AI applications. You will collaborate with Data Scientists and AI Engineers, building prototypes with Python, connecting models to APIs and enterprise systems.

The role emphasizes learning, teamwork, and hands-on experimentation across construction, highways, energy and digital infrastructures. Strong Python skills and cloud knowledge are valued.