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Multiverse Computing Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide and growing, delivering advanced solutions trusted by leading global enterprises across several critical industries, including finance, energy, manufacturing, telecom, and industrial sectors. Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies. You’ll work alongside world-leading experts, developing solutions that deliver real-world value for global clients. We are committed to fostering an inclusive, ethics-driven culture grounded in sustainability, diversity, and collaboration — a place where ambitious, curious people take ownership, push boundaries, and grow. Come and join us. Job Overview We are seeking a skilled and experienced LLM Engineer (Senior and Mid level)  with a strong background in Large Language Models to join our team. In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies. As a LLM Engineer, you will Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains. Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency. Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency. Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation. Maintain comprehensive documentation of LLM development processes, experiments, and results. Share your knowledge and expertise with the team to foster a culture of continuous learning, guiding junior members of the team in their technical growth and helping them develop their skills in LLM development. Participate in code reviews and provide constructive feedback to team members. Stay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate. Required Qualifications Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields. Mid: 2+ years of hands-on experience with designing, training or fine-tuning transformer models. Senior: 5+ years of hands-on experience with designing, training or fine-tuning transformer and other deep learning models (e.g. computer vision). 2+ year of hands-on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc." Solid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference. Excellent problem-solving, debugging, performance analysis, test design, and documentation skills. Strong understanding with the fundamentals of GPU architectures. Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.). Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment Excellent written and verbal communication skills, with the ability to work collaboratively in a