Senior LLM Engineer - Large Language Models / Transformer Models / Deep Learning / PyTorchWe're

Senior LLM Engineer - Large Language Models / Transformer Models / Deep Learning / PyTorchWe're currently supporting an organization at the forefront of AI and quantum-inspired technologies, and they're looking to bring in both Mid and Senior level LLM Engineers to join their growing team.This is a great opportunity to work on genuinely cutting-edge problems, combining Large Language Models with novel approaches to improve performance, efficiency, and scalability across a range of real-world applications.The role:You'll be working closely with research and engineering teams to design, build, and optimise LLMs, while contributing to the wider direction of AI development within the business.This is a permanent position, working on a hybrid model, in the Zaragoza region of Spain.What will you do?

Design and develop techniques to compress and optimise LLMs using quantum-inspired approachesEvaluate model performance, running benchmarks, and identifying areas for improvementFine-tune and enhance models for accuracy, robustness, and efficiencyAct as a subject matter expert for LLM-related challenges and opportunitiesCollaborate with cross-functional teams to integrate models into production systemsSupport and mentor junior engineersContribute to code reviews and best practicesKeep up with the latest advancements in LLM and NLP researchWhat they're looking for:For Mid level:3+ years experience working with transformer models and LLMsFor Senior level:5+ years experience across deep learning, including transformers and ideally other domains such as computer visionFor both:Strong Python skills with frameworks such as PyTorch and HuggingFaceSolid understanding of deep learning theory and neural networksExperience developing training models / building LLM's from scratchGood understanding of GPU architectures and performance optimisationExperience with AWS, Docker, and deploying models in cloud environmentsStrong problem-solving and communication skillsBonus points for:Experience with RAG systems, TensorRT, vLLM, or similar inference toolsHPC or large-scale training environmentsExposure to MLOps or DevOps practicesResearch background or publications in deep learningSpanish language skillsVisa sponsorship for Spain can be facilitated, so international applicants are encouragedIf you're interested in working at the intersection of advanced AI and emerging technologies, and want to have real impact on next-generation LLM systems, feel free to reach out or apply directly.If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV ****** applying to this role you understand that we may collect your personal data and store and process it on our systems.