Senior Knowledge Engineer

trg.recruitment; España; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A recruitment firm in Spain seeks an experienced Knowledge Engineer to design and scale AI systems. Responsibilities include optimizing workflows, managing data pipelines, and developing knowledge models for AI agents. The ideal candidate has a degree in a related field, proven experience in data pipeline design, and proficiency in Python and ML libraries. Familiarity with cognitive architectures and distributed processing tools is a plus. Join us to advance next-generation AI technologies.

Formación

• Proven experience designing and scaling data pipelines for LLMs.
• Strong background in information retrieval, vector search, and RAG frameworks.
• Familiarity with distributed data processing tools.

Responsabilidades

• Design and optimise RAG workflows integrating local LLMs with retrieval mechanisms.
• Build and maintain scalable data pipelines for data processing.
• Manage training data operations including curation and tracking.

Conocimientos

Data pipeline design

Information retrieval

Python programming

Machine Learning (TensorFlow, PyTorch)

Knowledge graphs

Semantic technologies (RDF, OWL, SPARQL)

Educación

Bachelor's or Master's degree in related field

Herramientas

Spark

Airflow

Kubeflow

Descripción del empleo

We are seeking an experienced Knowledge Engineer to design, implement, and scale state-of-the-art AI systems that combine large language models, advanced retrieval techniques, cognitive memory architectures, and data fusion. You will orchestrate robust data pipelines, architect scalable training data solutions, and build the foundational knowledge bases that power next-generation AI agents.

Responsibilities

• Design and optimise RAG workflows integrating local LLMs with retrieval mechanisms including vector search, Elasticsearch, FAISS, and Weaviate.
• Build and maintain scalable data pipelines for ingesting, transforming, indexing, and retrieving structured and unstructured data.
• Design services and tool specifications that LLMs and agents can leverage to orchestrate workflows.
• Manage training data operations including curation, versioning, and lineage tracking for LLM fine-tuning.
• Develop ontologies, knowledge graphs, and semantic data models for improved retrieval and reasoning.
• Design cognitive memory systems for AI agents enabling persistent knowledge retention across interactions.

Required Skills

• Bachelor's or Master's degree in related field.
• Proven experience designing and scaling data pipelines for LLMs.
• Strong background in information retrieval, vector search, and RAG frameworks.
• Proficiency in Python and ML libraries including TensorFlow and PyTorch.
• Experience with ontologies, knowledge graphs, and semantic technologies such as RDF, OWL, and SPARQL.
• Familiarity with distributed data processing tools including Spark, Airflow, and Kubeflow.

Nice to Haves

• Experience with LLM fine-tuning and prompt engineering.
• Familiarity with data-centric AI principles.
• Experience with cloud platforms and scalable storage.
• Background in cognitive memory architectures or AI agent design.