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Internship/Traineeship
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March 2026 16 - 32 weeks 32 - 40 hours per week
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Bachelor’s or equivalent level Master’s or equivalent level Doctoral or equivalent level
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Internship Traineeship
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Austria Belgium Switzerland Czechia Germany Denmark Spain Estonia Finland France Greece Hungary Iceland Italy Liechtenstein Lithuania Luxembourg Latvia Malta Netherlands Norway Poland Portugal Slovakia Slovenia Sweden
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Negotiable
We are seeking a highly motivated AI/ML Intern with a focus on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).  You will be working at the frontier of generative AI, helping us explore, build, and optimize systems that bridge the gap between static models and dynamic, private data.
This role is ideal for a student looking for a six(6) month opportunity to apply theoretical knowledge to a production-grade environment and build a significant portfolio piece.
Activities
Architect & Optimize RAG Pipelines:Â Improve retrieval accuracy using vector databases (e.g., Pinecone, Milvus, or Weaviate).
LLM Implementation:Â Experiment with and fine-tune prompts and workflows using models like GPT-4, Claude, or Llama 3.
Data Engineering:Â Assist in the cleaning, chunking, and embedding of proprietary datasets.
Evaluation:Â Implement benchmarking frameworks to measure hallucinations, faithfulness, and relevancy of model outputs.
Preferred profile
Academic Standing:Â Graduate student (Masters/PhD) in Computer Science, Data Science, or a related technical field.
GPA:Â 3.5 (or equivalent) or higher preferred.
Technical Skills:Â Proficiency in Python and experience with AI frameworks (e.g., LangChain, LlamaIndex, PyTorch, or TensorFlow).
Domain Knowledge:Â A solid understanding of transformer architectures and the mechanics of RAG.
Soft Skills:Â A research-oriented mindset with the ability to troubleshoot complex, non-deterministic systems.
What we offer
Flexible working hours, mentorship, weekly lunch, possibility for permanent employment.
Company profile
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Micro (1-9)
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Novi Sad, Serbia