GCP Data & AI Engineer — Pipelines & LLMs

Primus Global Solutions (Primus Uk & Europe)

Asturias

Presencial

EUR 70.000 - 90.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Primus Global Solutions (Primus UK & Europe) is seeking a Data & AI Engineer with strong GCP experience to design and deploy robust data pipelines and AI-powered solutions. The role focuses on data ingestion, tokenization, and integrating LLMs into production environments, bridging traditional data engineering with generative AI.

The ideal candidate will have hands-on Python, Airflow, and experience deploying AI models, with Looker knowledge considered a plus.

Formación

  • Strong expertise in Google Cloud Platform (GCP).
  • Proficiency in BigQuery and general Data Engineering practices.
  • Experience with Data Ingestion and Data Tokenization.
  • Strong programming skills in Python.
  • Hands-on experience with Apache Airflow.
  • AI/ML Expertise: Experience with LLMs, prompt engineering, agentic workflows, and deploying AI models into production.
  • Looker is highly preferred but not mandatory.

Responsabilidades

  • Design, build, and maintain scalable data pipelines and ingestion processes.
  • Implement data tokenization strategies to ensure data security and compliance.
  • Develop and optimize workflows using Apache Airflow.
  • Integrate LLMs into production environments, including designing and optimizing agentic workflows.
  • Apply prompt engineering techniques to improve model performance and reliability.
  • Collaborate with cross-functional teams to deliver high-quality data solutions.

Conocimientos

GCP
BigQuery
Data Ingestion
Data Tokenization
Python
Apache Airflow
LLMs
Prompt engineering
Agentic workflows
AI production deployment
Looker

Herramientas

Looker

Descripción del empleo

Primus Global Solutions (Primus UK & Europe) is seeking a Data & AI Engineer with strong GCP experience to design and deploy robust data pipelines and AI-powered solutions. The role focuses on data ingestion, tokenization, and integrating LLMs into production environments, bridging traditional data engineering with generative AI.

The ideal candidate will have hands-on Python, Airflow, and experience deploying AI models, with Looker knowledge considered a plus.

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