AI Agents Research Intern | Internship Full time

What you’ll do

• 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.

What we’re looking for

• 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.

What we offer

• €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.

Culture Fit

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.

Why join Us

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.