Senior AI Research Engineer – Agents Team

Jobtailor; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

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

Responsibilities

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

Requirements

• A Master's degree (required) in a highly technical and quantitative field such as Mathematics, Physics, Engineering, Computer Science, or a rigorous double degree.
• You have zero gaps in your machine learning fundamentals.
• Extensive, highly proficient experience with Python and SQL.
• Strong track record working with Language Models, Agentic AI workflows, and deep expertise in model fine-tuning (experience with Knowledge Graphs is a plus).
• Highly capable of deploying solutions into production environments using tools like Docker and other containerization technologies.
• You are exceptionally smart, highly autonomous, and thrive in ambiguity.
• You can present complex research results clearly to both highly technical peers and non-technical business stakeholders.