Lead AI Research Engineer - Agentic LLMs & Production

Jobtailor

Madrid

Presencial

EUR 60.000 - 90.000

Jornada completa

14 días+

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Descripción de la vacante

Jobtailor is seeking a highly skilled ML engineer in Madrid to lead experimental work on LLMs, agentic AI, and model fine-tuning. You will build robust ML pipelines, debug convergence issues, and deploy production-ready solutions with a strong emphasis on code quality.

The role requires a Master's degree in a technical field, deep ML fundamentals, and proven experience with Python, SQL, and Docker. You will collaborate with business stakeholders and operate with a high degree of autonomy in a

Formación

  • Master's degree in a highly technical and quantitative field such as Mathematics, Physics, Engineering, Computer Science, or a rigorous double degree.
  • Zero gaps in machine learning fundamentals.
  • Extensive experience with Python and SQL.

Responsabilidades

  • Experiment & Build: Design, set up, and execute experiments focusing on LLMs, Agentic AI, model fine-tuning, and broader ML systems.
  • Algorithmic Debugging: Investigate why a model isn’t converging, outputs are inconsistent, or results are unreliable across architectures.
  • Code Quality: Write clean, modular code following software engineering best practices.
  • Autonomous Delivery: Deliver projects with a high degree of autonomy.

Conocimientos

Python
SQL
Language Models
Agentic AI
Model fine-tuning
Knowledge Graphs
Production deployment

Educación

Master's degree in a technical field

Herramientas

Docker

Descripción del empleo

Jobtailor is seeking a highly skilled ML engineer in Madrid to lead experimental work on LLMs, agentic AI, and model fine-tuning. You will build robust ML pipelines, debug convergence issues, and deploy production-ready solutions with a strong emphasis on code quality.

The role requires a Master's degree in a technical field, deep ML fundamentals, and proven experience with Python, SQL, and Docker. You will collaborate with business stakeholders and operate with a high degree of autonomy in a

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