Why join us?

We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%.
Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.”

We offer
- Competitive annual base salary, based on experience and qualifications.
- Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.
- Relocation package (if applicable).
- Fixed-term contract ending in June 2026
- Hybrid role and flexible working hours.
- Be part of a fast-scaling Series B company at the forefront of deep tech.
- Equal pay guaranteed.
- International exposure in a multicultural, cutting-edge environment.

As a MLOps/LLMOps Engineer, you will




- Deploy cutting-edge ML/LLMs models to Fortune General 500 clients.
- Join a world-class team of Quantum experts with an extensive track record in both academia and industry.
- Collaborate with the founding team in a fast-paced startup environment.
- Design, develop, and implement Machine Learning (ML) and Large Language Model (LLM) pipelines, encompassing data acquisition, preprocessing, model training and tuning, deployment, and monitoring.
- Employ automation tools such as GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes) to enhance ML/LLM processes throughout the Large Language Model lifecycle.
- Establish and maintain comprehensive monitoring and alerting systems to track Large Language Model performance, detect data drift, and monitor key metrics, proactively addressing any issues.
- Conduct truth analysis to evaluate the accuracy and effectiveness of Large Language Model outputs against known, accurate data.
- Collaborat

📌 Mlops/llmops Engineer (Zaragoza)
🏢 Multiverse Computing
📍 Zaragoza