LLM Engineer for Agricultural Document Intelligence & RAG

Centre de Visio per Computador; Bellaterra; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

Computer Vision Center (CVC) seeks a Research Engineer to advance data processing for agriculture-related documentary collections. You will deploy open-source LLMs and build LLM-driven data pipelines within the AgriScienceFM Horizon Europe project.

Based at the Campus of the Universitat Autònoma de Barcelona, you will work with experts across AI, document analysis, and AI in agriculture, contributing to an international collaboration with cutting-edge computing resources.

Formación

• MSc in Computer Science, Computer Vision, Machine Learning, or a related field, or equivalent demonstrable expertise.
• Experience deploying off-the-shelf, open-source Large Language Models and creating LLM-based data-processing pipelines.
• Some experience with NoSQL databases (e.g., MongoDB, Neo4j).
• Experience managing data infrastructures using containers (Docker, Kubernetes, or similar technologies).
• Demonstrable experience with Retrieval-Augmented Generation (RAG).
• Familiarity with agentic pipelines and GraphRAG architecture will be considered an advantage.
• Familiarity with distributed multimode training of LLMs will be considered an advantage.
• Fluency in English and effective communication skills.

Responsabilidades

• Collaborate on processing and exploitation of data from documentary collections related to agriculture.
• Develop and refine LLM-based data-processing pipelines for the project.
• Contribute to the Agricultural Management Foundational Model development.
• Coordinate with Horizon Europe project AgriScienceFM partners and stakeholders.

Conocimientos

LLM deployment

Data pipelines

NoSQL DB

Docker/Kubernetes

RAG

GraphRAG

Agentic pipelines

Educación

MSc in Computer Science/CS CV ML

Equivalent demonstrable expertise

Herramientas

MongoDB

Neo4j

Descripción del empleo

Computer Vision Center (CVC) seeks a Research Engineer to advance data processing for agriculture-related documentary collections. You will deploy open-source LLMs and build LLM-driven data pipelines within the AgriScienceFM Horizon Europe project.

Based at the Campus of the Universitat Autònoma de Barcelona, you will work with experts across AI, document analysis, and AI in agriculture, contributing to an international collaboration with cutting-edge computing resources.