Role overview
As an AI Engineer Intern, you will play a crucial role in supporting the team building and testing AI/ML solutions while learning how these systems are developed in real business environments. This role is focused on learning, growth, and hands‑on experience under guidance.
Responsibilities
- Support development of simple <strong>AI/ML solutions and prototypes</strong>
- Write and maintain <strong>Python code</strong> for experiments and small features
- Work with <strong>machine learning models</strong> under supervision
- Collaborate with engineers and data scientists in a team setup
- Use <strong>Git/GitHub</strong> to manage and share your code
Basic qualifications
- Bachelor or Master's Degree in Computer Science, Mathematics, Software Engineering, or other relevant engineering fields
- Knowledge of technical skills such as <strong>Python</strong> (experience from studies or projects), Basic <strong>Machine Learning</strong> (e.g. PyTorch or TensorFlow), <strong>Git/GitHub</strong> basics
- Nice to have: prior exposure to <strong>LangChain / LangGraph,</strong> project or teamwork experiences
- Effective communication skills in both Spanish and English
- Demonstrated leadership, teamwork, and a proactive approach to challenges
- A curiosity-driven mindset with a commitment to impactful results
Benefits
- Responsibility from Day 1 – Own your work from the start.
- Development Opportunities – Gain gain hands-on experience with cutting-edge AI/ML technologies, building a strong foundation of industry-recognized skills to launch your professional journey.
- Meaningful Work – Impact future business results in a diverse and flexible environment.
- Coaching and Mentorship – Receive ongoing support throughout your internship.
- Collaborative Environment – Work in a dynamic team that values innovation.
Tags & focus areas
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