Research Engineer LLM (Amsterdam)

Education & Background for the Research Engineer LLM :

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or NLP.
• Strong academic foundation in deep learning, computational linguistics, or applied ML.

Technical ExperienceLLM & Multi-Agent Systems :

• Direct, hands-on experience in building agents or multi-agent AI systems using Large Language Models (LLMs).
• Knowledge of agent orchestration frameworks like LangChain or LlamaIndex.
• Familiarity with agent collaboration methods (debate, cooperative reasoning, creative problem-solving

Programming & Frameworks :

• Proficiency in Python
• Experience with ML/DL libraries such as PyTorch or TensorFlow.
• Skilled in debugging, model prototyping, and performance optimisation

Deep Learning & NLP Knowledge :

• Strong grasp of Transformers, GPT models, and BERT-like architectures.
• Understanding of model fine-tuning, transfer learning, and prompt engineering.
• Familiarity with NLP tasks: information retrieval, summarisation, question-answering.

Data & Knowledge Systems :

• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS).
• Knowledge graphs for reasoning and structured data use.
• Retrieval-Augmented Generation (RAG) techniques to ground LLMs in factual data.

Research & Innovation :

• Academic publications, conference presentations
• Ability to evaluate, benchmark, and iteratively optimise AI systems.