Research Engineer LLM (Amsterdam) für München gesucht

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Job Kategorie: Sonstige verarbeitende Industrie Ingenieurwesen

Stellenangebot Basisdaten

Arbeitsort:: DE 81249 München
Umkreis:: keine Angabe.
Art der Arbeitsstelle:
Letze Aktualisierung:: 30.10.20252025-10-30

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Stellenausschreibung: Research Engineer LLM (Amsterdam)

Arbeitgeber bzw. Arbeitsvermittler: Michael Page in Hamburg

Branche: Sonstige verarbeitende Industrie

Kategorie: Ingenieurwesen

Stellenbeschreibung: Intro Growing Research center with direct industrial application LLM, RAG, Longchain Firmenprofil Our client 's a global ICT company recognised for their innovations in the electronic worlds. They have a solid research centers network spread in Europe. In Amsterdam their team is specialised on computing technology such as OS, Cloud, AI and LLM. The role of Research Engineer LLM is based on-site in Amsterdam Aufgabengebiet This role is for a Research Engineer specialising in AI systems powered by Large Language Models. The goal is to design and build multi-agent AI systems, essentially, AI "teams" that can collaborate, debate, and solve complex problems together. The engineer will: Develop and test AI agents that can handle reasoning, teamwork, and creativity. Use frameworks like LangChain to develop, test, and deploy AI agents. Improve how agents use knowledge (through tools like RAG - Retrieval Augmented Generation) so they stay accurate and avoid "hallucinations" Keep up with the latest AI research and bring new ideas into the company. Work with data scientists and engineers to integrate these systems into real products. Measure how well the AI agents work and continuously refine them. Overall, the role combines research, software development, and applied machine learning, with a strong emphasis on LLMs and agent-based systems. The role of Research Engineer LLM is based on-site in Amsterdam Anforderungsprofil 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. Vergütungspaket Relocation and Visa Sponsorship supported by the client. Permanent full time contract Kontakt Charly Ble Referenznummer JN-092025-6847339 Beraterkontakt +33141924220

Qualifikation: Arbeitskräfte

Verdienst:: n.a.

Bewerbung an: Michael Page
Am Strandkai 1
De 20457 Hamburg

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