Data & AI Engineer

Ubique Systems; España; On-site; PHP 6,536,000 - 9,441,000; Full time

Job summary

Ubique Systems is seeking a Data & AI Engineer with strong GCP expertise to build scalable data pipelines and manage data ingestion and tokenization. The role also involves deploying AI models, integrating LLMs, and optimizing agentic workflows within production environments.

You will design and maintain workflows using Apache Airflow, apply prompt engineering, and collaborate with cross-functional teams to deliver robust data solutions.

Qualifications

• Experience with Google Cloud Platform (GCP) and data pipelines.
• Hands-on data ingestion and tokenization.
• Strong Python programming skills.
• Experience deploying AI models in production and working with LLMs.

Responsibilities

• 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 and design agentic workflows.
• Apply prompt engineering techniques to improve model performance and reliability.
• Collaborate with cross-functional teams to deliver high-quality data solutions.

Skills

GCP

BigQuery

Data Ingestion

Data Tokenization

Python

Apache Airflow

LLMs

Prompt engineering

Agentic workflows

Deploying AI models

Looker

Tools

Airflow

Looker

Job description

We are seeking a highly skilled Data & AI Engineer with extensive GCP experience to join our team. In this role, you will be responsible for building robust data pipelines, managing data ingestion and tokenization, and leveraging cutting-edge AI technologies to drive business solutions. The ideal candidate will bridge the gap between traditional data engineering and advanced generative AI implementation.Key Responsibilities

• 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.

Qualifications

• Technical Skills:
• 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: Proven experience with LLMs, prompt engineering, agentic workflows, and deploying AI models into production.

Preferred Skills: Experience with Looker is highly preferred but not mandatory