Descripción de la oferta
Senior LLM Engineers & Researchers
Location: Barcelona, Madrid, Zaragoza, San Sebastian (on-site with some flexibility)
We are partnering with a well-funded, rapidly scaling deep-tech company operating at the intersection of advanced AI and next-generation computing to find their next Senior LLM Engineers & Researchers. Their team combines world-class researchers and engineers working on cutting-edge challenges in large-scale LLM model development, optimization, and deployment. This is an opportunity to join a highly technical environment where you will directly contribute to the future of large language models - not just apply them.
As a Senior LLM Engineer or Researcher, you will design, train, and optimize large-scale transformer models, contributing across pretraining, post-training alignment (SFT, RLHF, DPO), evaluation, and inference optimization. This is a deeply technical role focused on core model development rather than downstream application or prompt engineering.
Key Responsibilities
Design and train transformer-based models from scratch, including large-scale pretraining pipelines
Contribute to post-training workflows such as SFT, RLHF, and DPO
Build and optimize large-scale data pipelines for training and evaluation
Improve model performance through architecture, training, and efficiency optimizations
Optimize inference and training performance across GPU/HPC environments
Collaborate with engineering teams to deploy models into production systems
Mentor junior engineers and contribute to technical best practices
Required Experience & Skills
PhD with industry experience since with hands-on experience training transformer or LLM models from scratch
Strong understanding of transformers, optimization, and deep learning fundamentals
Expertise in Python, PyTorch, and the Hugging Face ecosystem
Experience with distributed training frameworks such as DeepSpeed, FSDP, or Megatron
Experience with inference optimization tools such as vLLM or TensorRT-LLM
Experience working with large datasets, scalable training pipelines, and GPU optimization
Why Apply?
Work on true LLM innovation, not just downstream applications
Influence next-generation AI systems at scale
Join a highly technical, research-driven environment with real-world impact
Competitive compensation, flexible working, and strong growth potential
Recruiter's Note
We are specifically targeting those who have built and optimized models themselves - not those for example who have focused on prompt engineering or API-based LLM usage.
If you have contributed to large-scale training pipelines, model optimization, quantization, compression or architecture-level improvements, we would like to hear from you.
Apply now or send a copy of your CV, referencing the title and location, and with a short intro to cw@eu-recruit.com .
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