We're working for a well\-funded, fast\-growing deep\-tech company, founded in 2019 and now 180\+ strong. We're the largest quantum software company in the EU, and have been named twice by a leading industry analyst as one of the world's 100 most promising AI companies.
*The role**
You'll use cutting\-edge quantum and AI technologies to lead the design, implementation and improvement of our language models, working closely with cross\-functional teams to bring them into our products. Expect challenging projects, real research, and the chance to shape the future of LLM and NLP technology.
*What you'll do**
Design and develop new quantum\-inspired techniques for compressing Large Language Models, tackling tough use cases across industries
* Run rigorous evaluations and benchmarks, then fine\-tune and optimise LLMs for accuracy, robustness and efficiency
* Build LLM\-based applications such as RAG systems and AI agents
* Assess model strengths and weaknesses, and propose novel ways to improve performance
* Act as a domain expert in LLMs, spotting opportunities for quantum AI\-driven innovation
* Document your development processes, experiments and results thoroughly
* Mentor junior colleagues and share your knowledge to foster a culture of continuous learning
* Take part in code reviews and give constructive feedback
* Keep up with the latest LLM advances and recommend new tools and technologies
*What we're looking for**
Bachelor's, Master's or PhD in AI, Computer Science, Data Science or a related field
* **Mid\-level:**
2\+ years of hands\-on experience with deep learning and neural networks, ideally with LLMs and Transformers
* **Senior:**
5\+ years of hands\-on experience with deep learning and neural networks, ideally with LLMs and Transformer architectures, or computer vision models
* 2\+ years working with LLM and Transformer models, with excellent command of HuggingFace Transformers, Accelerate, Datasets and similar libraries
* Solid mathematical foundations and deep learning expertise across training and inference
* Excellent problem\-solving, debugging, performance analysis, test design and documentation skills
* Strong grasp of GPU architectures and LLM hardware/software infrastructure
* Excellent Python skills and experience with PyTorch, HuggingFace and related libraries
* Experience with cloud platforms (ideally AWS), Docker, and deploying AI solutions in the cloud
* Excellent written and verbal communication, and the ability to collaborate in a fast\-paced team
* Fluent German
* Research publications in deep learning or any technical field are a plus