LLM Internship

About the role

Springer Capital is offering an internship focused on large language models (LLMs), natural language processing and AI. The intern works remotely, collaborating with developers, data scientists and product managers to help bring AI-driven features to life.

Key responsibilities

• Research and experiment with LLMs, NLP techniques and AI frameworks.
• Design, test and optimise prompts and workflows for different use cases.
• Assist in fine-tuning or integrating LLMs for internal projects.
• Evaluate model outputs and improve their accuracy, efficiency and reliability.
• Collaborate with developers, data scientists and product managers to implement AI features.
• Document experiments, results and best practices.

Required profile

• Strong interest in artificial intelligence, NLP and machine learning.
• Basic understanding of LLM concepts such as embeddings, fine-tuning and inference.
• Good analytical and problem-solving skills.
• Ability to work independently in a remote environment.

Required skills

• Familiarity with Python and ML libraries such as TensorFlow, PyTorch and Hugging Face Transformers.
• Knowledge of APIs (OpenAI, Anthropic, Hugging Face, etc.) is a plus.

What we offer

• Practical exposure to state-of-the-art AI tools and LLMs.
• Mentorship from AI and software professionals.
• A completion certificate and a letter of recommendation based on performance.
• Experience to showcase in research projects, academic work or future AI roles.