Senior AI Research Engineer: Agentic LLMs & MLOps

Aily Labs

Madrid

Híbrido

EUR 90.000 - 135.000

Jornada completa

14 días+
Generador de candidaturas

Una candidatura hecha para este puesto de trabajo: un currículum y una carta de presentación adaptados que responden directamente a la oferta.

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Ventajas ofrecidas por este puesto de trabajo

Fast growth path
Hybrid working model
Global company and culture

Descripción de la vacante

Aily Labs seeks exceptionally smart AI Research Engineers to join a small, highly technical team working on cutting-edge AI research with direct impact on the product. The role emphasizes LLMs, Agentic AI, and advanced ML systems, with opportunities to publish in top conferences.

You will design experiments, fine-tune state-of-the-art models, and translate findings into deployable product enhancements, while mentoring peers and contributing to a rigorous research culture.

Formación

  • Master's degree in a technical field such as Mathematics, Physics, Engineering, CS, or equivalent.
  • Ph.D. in a relevant field is a strong plus.
  • Proven background in ML/AI research and papers is desirable.

Responsabilidades

  • Design, set up, and execute experiments focusing on LLMs, Agentic AI, model fine-tuning, and ML systems.
  • Manage reproducible research pipelines and version control for code/data.
  • Bridge research findings to product teams and provide actionable directions.

Conocimientos

Python
SQL
Language Models
Agentic AI
Machine Learning fundamentals
MLOps
Docker
Production deployment

Educación

Master's degree
Ph.D. in a relevant technical field (strong plus)

Herramientas

Docker
Containers
Knowledge Graphs

Descripción del empleo

Aily Labs seeks exceptionally smart AI Research Engineers to join a small, highly technical team working on cutting-edge AI research with direct impact on the product. The role emphasizes LLMs, Agentic AI, and advanced ML systems, with opportunities to publish in top conferences.

You will design experiments, fine-tune state-of-the-art models, and translate findings into deployable product enhancements, while mentoring peers and contributing to a rigorous research culture.

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