¡Activa las notificaciones laborales por email!

Quality Control Engineer - AI & LLM Services (Fixed-term contract) Technical · Madrid, Barcelon[...]

Hyperproof

Madrid

Híbrido

EUR 45.000 - 65.000

Jornada completa

Hoy
Sé de los primeros/as/es en solicitar esta vacante

Genera un currículum adaptado en cuestión de minutos

Consigue la entrevista y gana más. Más información

Descripción de la vacante

A European deep-tech leader is seeking a Quality Control Engineer to ensure the reliability of AI-driven solutions. Candidates should have a Master's in Computer Science and at least 2 years of software quality assurance experience, focusing on AI systems. This hybrid role offers a competitive salary and unique bonuses, alongside the opportunity to work with cutting-edge technology in a fast-growing environment.

Servicios

Competitive annual salary
Signing bonus
Retention bonus
Relocation package
Flexible working hours
Multicultural work environment

Formación

  • Minimum 2 years of experience in software or ML project quality assurance.
  • Proficient in AI/ML testing methodologies.
  • Understanding of modern ML and LLM workflows.

Responsabilidades

  • Ensure reliability, robustness, and performance of AI-driven solutions.
  • Collaborate with teams to define acceptance criteria.
  • Evaluate system quality under varied operational conditions.
  • Standardize quality control and reporting across projects.
  • Develop and maintain test suites for AI systems.
  • Design and implement testing frameworks for LLM applications.
  • Contribute to improving QA processes.
  • Act as a contact point for quality validation.

Conocimientos

Quality assurance
Testing methodologies for AI/ML systems
Collaboration
Problem-solving
Technical documentation
Python
APIs
Cloud ML platforms

Educación

Master’s degree in Computer Science or related field
Descripción del empleo
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 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 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
  • Master’s 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.

You’ll 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.

Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra un archivo en formato PDF, DOC, DOCX, ODT o PAGES de hasta 5 MB.