LLM Engineer (Mid & Senior) - Quantum-Inspired AI Scale-up

European Tech Recruit • Greater San Sebastian Area

Visa Sponsorship Relocation

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AI Summary

Seeking LLM Engineers to innovate, compress, and optimize Large Language Models using quantum-inspired technologies. Requires 2+ years (Mid) or 5+ years (Senior) experience with Transformers and deep learning. Role involves architecting high-performance AI solutions and mentoring junior talent.

Key Highlights

Work at the frontier of deep-tech with a leading Quantum Software scale-up.

Focus on compressing, optimizing, and fine-tuning LLMs using quantum-inspired technologies.

Opportunity to architect and deploy high-performance AI solutions in cloud and HPC environments.

Key Responsibilities

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

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

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

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

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Technical Skills Required

Python PyTorch HuggingFace Docker Transformer models Deep learning Computer Vision

Benefits & Perks

Indefinite contract

Equal-pay guarantee

Performance-based Variable Bonus

Signing Bonus

Full Work Visa sponsorship

Relocation support

Hybrid working

Flexible hours

Private health insurance

Dedicated educational budget

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Nice to Have

Research publications in Deep Learning

Experience with Inference/Deployment (TensorRT, vLLM)

Building and evaluating RAG systems or non-LLM DL applications (Audio/Signal Processing)

Job Description

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

Location: San Sebastian, Spain (Hybrid)

(Visa & Relocation Support Available)

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

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