Data Engineer (AI)

TL;DR

Data Engineer (AI): Developing and maintaining data systems with an accent on data modeling, data quality, and knowledge graphs. Focus on integrating Knowledge Graphs with LLMs or GenAI applications and building and querying Knowledge Graphs in real-world applications.

Location: Must be based in Colombia

Company

hirify.global is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world.

What you will do

• Work with data modeling, data quality, and production-grade data systems.
• Build and query Knowledge Graphs in real-world applications.
• Integrate Knowledge Graphs with LLMs or GenAI applications.
• Contribute to data architecture, pipelines, and distributed systems.

Requirements

• 3 - 5 years of experience in Data Engineering, Backend Engineering, or related roles.
• Strong background in data modeling, data quality, and production-grade data systems.
• Proven hands-on experience as a Knowledge Graph SME, including: Entity and relationship modeling, ontology design and semantic modeling, RDF/TTL and graph-based standards.
• Strong proficiency in Python and SQL.
• Practical experience building and querying Knowledge Graphs in real-world applications.
• Experience with Graph-RAG or graph-based retrieval approaches.
• Solid understanding of data architecture, pipelines, and distributed systems.
• Ability to work independently in fast-paced, cross-functional environments.
• English communication skills B2/C1.

Nice to have

• Experience integrating Knowledge Graphs with LLMs or GenAI applications.
• Familiarity with graph databases (e.g., Neo4j, Amazon Neptune, or similar).
• Experience with cloud platforms (GCP, AWS, or Azure).
• Knowledge of data governance and metadata management frameworks.

Culture & Benefits

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan