LLM Engineer

hirify.global is the largest quantum software company in the EU, delivering hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.

Overview

You will join a team of world-leading experts to develop AI solutions and tackle real-world challenges, shaping the future of LLM and NLP technologies. You will design, implement, and improve language models, integrating them into the company's products. The company values sustainability, diversity and ethics.

What you will do

• Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies.
• Evaluate model performance, identify areas for improvement, and fine-tune LLMs for enhanced accuracy and efficiency.
• Assess model strengths and weaknesses, propose enhancements, and develop novel solutions.
• Act as a domain expert in LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.
• Share knowledge with the team and guide junior members in their technical growth.
• Participate in code reviews and stay updated with the latest advancements in LLMs.

Requirements

• Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
• Mid: 2+ years / Senior: 5+ years of hands-on experience with deep learning models and neural networks, preferably working with Large Language models and Transformer architectures.
• 2+ year of hands-on experience using LLM and Transformer models, with libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.
• Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).
• Fluent in English.

Nice to have

• Proven experience (4+ years) delivering successful AI-driven projects in an industrial environment.
• Spanish Language skills
• Experience with inference and deployment environments (TensorRT, vLLM, etc.).
• Experience building and evaluating RAG systems.

Culture & Benefits

• Indefinite contract, equal pay guaranteed, and variable performance bonus.
• Private health insurance and eligibility for an educational budget.
• Hybrid opportunity and flexible working hours.
• Language classes and discounted lunch options.
• Opportunity to learn and teach, and a career plan for growth.