Quality Control Engineer AI & LLM Services (Fixed-term contract)

We are looking to fill this role immediately and are reviewing applications daily. Expect a fast transparent process with quick feedback.

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 5080%.
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 salary

• 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 Quality Control Engineer you will

• Ensure the reliability robustness and performance of our AI-driven solutions applications and products we deliver to clients.

• Collaborate with engineers project managers customers and product teams to define acceptance criteria.

• Evaluate system quality under varied operational conditions ensuring scalability latency and data integrity meet project and client expectations.

• Create and standardize quality control and reporting across projects.

• Develop and maintain comprehensive test suites tailored to AI systems and ML workflows.

• Design and implement automated and manual testing frameworks for LLM-based applications including chatbots RAG systems APIs and data pipelines.

• Contribute to continuous improvement of QA processes enforcing best practices in testing documentation and validation of ML and LLM pipelines.

• Act as a point of contact for quality validation ensuring that final deliverables meet both technical and functional excellence standards.

Required Qualifications

• Masters degree in Computer Science Data Science Software Engineering or a related field.

• 2 years of experience in software or ML project quality assurance focusing on functional performance and automation testing.

• Demonstrated understanding of testing methodologies for AI/ML systems (e.g. reproducibility model output validation bias detection).

• Familiarity with modern ML and LLM workflows (Python APIs cloud ML platforms).

• Proficiency in English; Spanish or French is a plus.

About Multiverse Computing

Founded in 2019 we are a well-funded fast-growing deep-tech company with a team of 180 employees worldwide. Recognized by CB Insights (2023 & 2025) as one of the Top 100 most promising AI companies globally we are also the largest quantum software company in the EU.
Our flagship products address critical industry needs:

• CompactifAI a groundbreaking compression tool for foundational AI models reducing their size by up to 95% while maintaining accuracy enabling portability across devices from cloud to mobile and beyond.

• Singularity a quantum and quantum-inspired optimization platform used by blue-chip companies in finance energy and manufacturing to solve complex challenges with immediate performance gains.

Youll be working alongside world-leading experts in quantum computing and AI developing solutions that deliver real-world impact for global clients. We are committed to an inclusive ethics-driven culture that values sustainability diversity and collaboration a place where passionate people can grow and thrive. Come and join us!

As an equal opportunity employer Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds including age citizenship ethnic and racial origins gender identities individuals with disabilities marital status religions and ideologies and sexual orientations to apply.