Senior Large Language Models Engineer

European Tech Recruit • Spain

Visa Sponsorship Relocation

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and develop Large Language Models using transformer models and quantum-inspired approaches. Collaborate with research and engineering teams to improve model performance and scalability in real-world applications. Contribute to the wider direction of AI development within the organization.

Key Highlights

Work on cutting-edge problems combining Large Language Models with novel approaches

Collaborate with research and engineering teams

Contribute to the wider direction of AI development

Key Responsibilities

Design and develop techniques to compress and optimize LLMs using quantum-inspired approaches

Evaluate model performance, running benchmarks, and identifying areas for improvement

Fine-tune and enhance models for accuracy, robustness, and efficiency

Support and mentor junior engineers

Contribute to code reviews and best practices

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Technical Skills Required

Large Language Models Transformer Models PyTorch Deep Learning Neural Networks GPU Architectures AWS Docker HuggingFace

Benefits & Perks

Visa sponsorship

Relocation package

Hybrid work model

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Nice to Have

RAG systems

TensorRT

vLLM

HPC or large-scale training environments

Exposure to MLOps or DevOps practices

Research background or publications in deep learning

Job Description

Senior LLM Engineer - Large Language Models / Transformer Models / Deep Learning / PyTorch

We'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.

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