LLM Engineer

@ Multiverse Computing

About Multiverse Computing

Multiverse Computing is a well-funded, fast-growing deep-tech company and the largest quantum software company in the EU. Founded in 2019, it has been recognized by CB Insights as one of the 100 most promising AI companies in the world in 2023 and 2025. With over 180 employees, the team is multicultural and international, delivering hyper-efficient software that leverages quantum computing and artificial intelligence.

Products Overview

The company offers flagship products such as:

• CompactifAI: A groundbreaking compression tool for foundational AI models using Tensor Networks.
• Singularity: A quantum and quantum-inspired optimization platform used by blue-chip companies to tackle complex challenges in various industries.

Job Overview - LLM Engineer

As a LLM Engineer at Multiverse Computing, you will design, implement, and optimize Large Language Models using cutting-edge quantum and AI technologies. The role involves collaborating with cross-functional teams, conducting performance evaluations, fine-tuning models, and documenting processes. You will also mentor junior team members and contribute to continuous learning.

Key Responsibilities

• Design and develop techniques to compress LLMs with quantum-inspired technologies.
• Conduct rigorous model evaluations and benchmark performance.
• Optimize and fine-tune models for accuracy, robustness, and efficiency.
• Document processes and share expertise with team members.
• Participate in code reviews and collaborate across teams.

Required Qualifications

Master's or Ph.D. in AI, Computer Science, Data Science or related fields. For mid-level roles: 2+ years of hands-on experience with transformers. For senior roles: 5+ years with transformer and deep learning models. Proficiency with libraries like HuggingFace Transformers, Accelerate, and Datasets, a strong mathematical foundation, excellent programming skills in Python (PyTorch, HuggingFace), cloud platforms (AWS), containerization (Docker), and clear communication skills are required.

Preferred Qualifications

• 4+ years of AI-driven project experience in industrial settings.
• Spanish language skills.
• Experience with high-performance computing clusters and large-scale workloads.
• Expertise in inference and deployment setups (e.g., TensorRT, vLLM).
• Experience with RAG systems and non-LLM deep learning applications.
• Familiarity with AI ethics and responsible AI practices.
• DevOps/MLOps experience in deep learning product development.

Perks & Benefits

Equal pay guarantee, private health insurance, hybrid opportunity, flexible working hours, language classes, discounted lunches, career plans, and a happy, progressive company culture.

Location

Applicants must have legal authorization to work in the country where the position is based.

Key skills/competency

LLM, Quantum, AI, Python, Transformer, HuggingFace, Cloud, Docker, HPC, Deep Learning