GCP Data & AI Engineer: Pipelines, LLMs & Tokenization

Infoplus Technologies Uk Limited; Castro-Urdiales; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Infoplus Technologies Uk Limited is seeking a Data & AI Engineer with extensive GCP experience. You will design robust data pipelines, manage data ingestion and tokenization, and leverage AI technologies to drive business solutions.

The role bridges traditional data engineering with generative AI implementation. You will implement Airflow workflows, tokenize data for security, and integrate LLMs into production.

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.
• GCP Certification is Mandatory.
• AI/ML Expertise: Proven experience with LLMs, prompt engineering, agentic workflows, and deploying AI models into production.

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

Airflow

LLMs

Prompt Engineering

Agentic Workflows

AI Production

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Herramientas

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Descripción del empleo

Infoplus Technologies Uk Limited is seeking a Data & AI Engineer with extensive GCP experience. You will design robust data pipelines, manage data ingestion and tokenization, and leverage AI technologies to drive business solutions.

The role bridges traditional data engineering with generative AI implementation. You will implement Airflow workflows, tokenize data for security, and integrate LLMs into production.