LLM Engineer (Mid & Senior Levels) | AI / Quantum Computing Scale-up
Location:

San Sebastian, Spain (Hybrid)
Work at the frontier of deep-tech with the EU’s leading Quantum Software scale-up. Recognised as a Global Top 100 AI company, my client is leveraging quantum-inspired algorithms to solve the most complex challenges in Finance, Energy, and Manufacturing.
We are looking engineers who don't just "use" LLMs, but understand how to strip them down, compress them, and optimise them for world-class performance.
The Role

Innovate:

Design new techniques to compress Large Language Models using quantum-inspired technologies.
Scale:

Fine-tune and optimise Transformers for enhanced accuracy, robustness, and efficiency.
Architect:

Evaluate GPU architectures and deploy high-performance AI solutions in cloud and HPC environments.
Lead:

Act as a domain expert, mentoring junior talent and contributing to cutting-edge research.
Technical Requirements

Education:

MSc or PhD in AI, CS, or a related quantitative field.
Experience (Mid):

2+ years hands-on with Transformer models and deep learning.




Experience (Senior):

5+ years, including experience with Computer Vision or broader Deep Learning.
Tooling:

Expert Python, PyTorch, HuggingFace (Transformers/Accelerate), and Docker.
Systems:

Strong understanding of

GPU architectures

and AWS cloud deployment.
Soft Skills:

Fluent English; ability to communicate complex technical concepts to general stakeholders.
Preferred Extras

Research publications in Deep Learning.
Experience with

Inference/Deployment

(TensorRT, vLLM).
Building and evaluating RAG systems or non-LLM DL applications (Audio/Signal Processing).
The Package

Security:

Indefinite contract with an equal-pay guarantee.
Relocation:

Full Work Visa sponsorship and relocation support provided.
Balance:

Hybrid working, flexible hours, and private health insurance.
Growth:

Dedicated educational budget and a high-velocity R&D; culture.
Interested?

Apply directly thr

📌 LLM Engineer (Madrid)
🏢 European Tech Recruit
📍 Madrid