Senior LLM Engineer - Quantum AI Solutions

About the Role

We are seeking a skilled and experienced Senior LLM Engineer to join our team at Multiverse Computing. As a Senior LLM Engineer remote, you will leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models. You will work alongside world-leading experts and contribute to projects that deliver real-world value for global clients.

What You'll Do

• Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies.
• Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement.
• Fine-tune and optimize LLMs for enhanced accuracy, robustness, and efficiency.
• Act as a domain expert in LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.
• Maintain comprehensive documentation of LLM development processes, experiments, and results.
• Guide junior team members in their technical growth and help them develop their skills in LLM development.
• Participate in code reviews and provide constructive feedback to team members.
• Stay up to date with the latest advancements and emerging trends in LLMs.

Requirements

• Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
• 5+ years of hands-on experience with designing, training, or fine-tuning transformer models.
• 2+ years of hands-on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers.
• Solid mathematical foundations and theoretical understanding of deep learning algorithms.
• Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).
• Experience with cloud platforms (ideally AWS) and containerization technologies (Docker).
• Excellent written and verbal communication skills.
• Fluent in English.

Nice to Have

• Proven experience delivering successful AI-driven projects in an industrial environment.
• Spanish language skills.
• Experience running large-scale workloads in high-performance computing (HPC) clusters.
• Experience with inference and deployment environments (TensorRT, vLLM, etc.).
• Experience in building and evaluating RAG systems.

What We Offer

• Indefinite contract with equal pay guaranteed.
• Variable performance bonus and signing bonus.
• Work visa sponsorship and relocation package.
• Private health insurance.
• Eligibility for educational budget according to internal policy.
• Hybrid opportunity with flexible working hours.
• Language classes and discounted lunch options.
• Career plan with opportunities to learn and teach.