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Collaborate with our AI team to design and test AI agents and RAG systems based on the latest LLMs (ChatGPT, Claude, LLaMA, Falcon, Mistral, etc.).
Help build and curate high-quality NLP datasets for training and evaluation.
Implement and fine-tune transformer-based models (BERT, RoBERTa, T5, GPT derivatives, LLaMA models, etc.).
Experiment with vector databases and graph-based reasoning systems to enhance retrieval and contextual understanding.
Analyze results, benchmark performance, and document your findings for integration into production systems.
Work side by side with engineers and founders to transform research ideas into real-world AI products.
Background in Computer Science, Engineering, AI, or related fields (Bachelor’s, Master’s, or PhD student).
Strong academic or project-based experience in machine learning, NLP, or LLMs.
Familiarity with Python, PyTorch, or TensorFlow.
Interest in AI agents, RAG, LLMs, vector databases, and graph neural networks.
Curiosity, creativity, and a drive to learn fast and build things that matter.
A proactive and entrepreneurial mindset: this is not a routine internship.
€800/month internship compensation.
A chance to work closely with top engineers and researchers in the field.
Hands-on experience with cutting-edge AI systems and frameworks.
Exposure to real startup life and direct impact on production systems.
Mentorship and collaboration with a founding AI researcher.
Possibility of conversion into a full-time position after the internship.
Flexible setup: work from Bologna, Amsterdam, or remotely within Europe.
We’re a fit if:
You’re ambitious and eager to learn from A-players while becoming one yourself.
You enjoy ownership, fast learning, and experimentation.
You want to see your research make a real impact, not just stay in papers.
We’re not a fit if:
You prefer rigid corporate environments or predefined routines.
You’re not comfortable with rapid iteration and feedback cycles.
At Liablix, you won’t just assist, you’ll build. Your work will directly influence how AI understands and reconstructs real-world events. You’ll get early exposure to the startup world, collaborate with world-class talent, and contribute to technology that’s defining a new standard in insurtech.
You didn’t buy Bitcoin in 2009, but you joined Liablix in 2026. Everyone says they want to join a unicorn early. Few actually do.
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