Job Description
Job Title:  Welcome U Internship Generative AI
Posting Start Date:  2/23/26
Job Description: 

If you are a student passionate about the technological vanguard, natural language processing, and eager to learn how Generative Artificial Intelligence is transforming the energy sector, this is the adventure for you! Join our Generative AI team through the Welcome U Internship Program.

On this journey, you will be mentored by Moeve professionals to ensure you make the most of this experience—learning to design, develop, and evaluate solutions based on the latest Large Language Models (LLMs) within a real-world corporate environment.

What are we looking for?

  • Students in their final years of an Undergraduate or Master’s degree in Computer Science, Mathematics, Physics, or other Advanced Technical Engineering fields.

  • Profiles with solid programming skills in Python and proficiency in SQL / data analysis.

  • At least 120 credits completed, with active enrollment in a university (that has an internship agreement).

  • Available for curricular or extracurricular internships.

  • Individuals with insatiable curiosity, analytical capacity, and a drive to contribute fresh ideas to the field of AI.

Skills and Aptitudes:

  • Basic knowledge of, or a deep interest in, generative models and AI architectures.

  • Ability to learn quickly in highly dynamic technological environments.

  • A structured mindset for problem-solving and prompt engineering.

  • Strong communication skills for documenting findings and collaborating within a team.

Responsibilities:

  • Master Generative AI Fundamentals: Learn about Large Language Models (LLMs), embeddings, RAG architectures, tokenization, and AI safety.

  • Develop Generative AI Applications: Assist in building prototypes such as internal chatbots or documentation assistants using frameworks like LangChain or Semantic Kernel.

  • Implement RAG (Retrieval-Augmented Generation): Participate in document indexing via embeddings and set up basic information retrieval pipelines.

  • Evaluate and Optimize LLM Solutions: Apply quality metrics, prompt improvement techniques, and error mitigation to optimize model responses.

  • Support Knowledge Sharing: Assist in team training initiatives and technical documentation of use cases and experimental findings.

Why Moeve?

  • Duration: Minimum of 6 months with the possibility of an extension.

  • Innovation: Collaborate on AI projects at the frontier of technological knowledge.

  • Benefits: Monthly financial stipend/compensation.

  • Location: Madrid.

 

Moeve is committed to ensuring equal opportunities, identifying and developing the full potential of individuals based solely on their ability to perform their roles and without discrimination based on sexual orientation, gender identity, gender expression, sexual characteristics, or any other aspect of diversity.