Senior Large Language Model Engineer
Design, optimize, and deploy cutting-edge Large Language Models (LLMs) for real-world solutions across industries. Collaborate with cross-functional teams to integrate AI solutions into products. Mentor junior engineers and participate in code reviews.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Senior LLM Engineer
Location: San Sebastian, Spain (Hybrid)
Employment Type: Full-time
We are looking for a Senior LLM Engineer to design, optimize, and deploy cutting-edge Large Language Models (LLMs). You will work on advanced AI and quantum-inspired technologies, contributing to real-world solutions across industries such as finance, telecom, and manufacturing.
Key Responsibilities
Design and develop techniques to optimize and compress LLMs
Fine-tune and improve transformer-based models for performance and efficiency
Evaluate models using benchmarks and implement improvements
Build and deploy RAG (Retrieval-Augmented Generation) systems
Collaborate with cross-functional teams to integrate AI solutions into products
Work on LLM inference and deployment in production environments
Maintain documentation and share knowledge with the team
Mentor junior engineers and participate in code reviews
Stay updated with the latest advancements in LLM and AI technologies
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Required Skills & Experience
5+ years of experience in Machine Learning / Deep Learning
Strong experience with LLMs and transformer models
Hands-on with:
Python
PyTorch
Hugging Face (Transformers, Datasets, Accelerate)
Experience in model training, fine-tuning, and optimization
Understanding of GPU architectures and performance tuning
Experience with:
AWS or cloud platforms
Docker / containerization
Strong problem-solving and debugging skills
Excellent communication and collaboration skills
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Preferred Skills
Experience with vLLM, TensorRT (inference optimization)
Experience building RAG systems
Exposure to HPC (High-Performance Computing) environments
Knowledge of MLOps / DevOps practices
Experience with large-scale datasets and evaluation frameworks
Background in AI research or publications
Spanish language skills (optional)
Benefits
Competitive salary + performance bonus
Visa sponsorship and relocation support
Private health insurance
Flexible working hours and hybrid model
Learning and development budget
Collaborative, high-performance work environment
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