AI Data Engineer (AI)

Location: Mexico City, Mexico; partially remote

Company

hirify.global runs and modernizes mission-critical technology systems for leading businesses, using AI-powered insights to support smarter decisions and faster innovation.

What you will do

• Design and scale real-time Retrieval-Augmented Generation (RAG) pipelines that transform enterprise IT logs and documentation into vector embeddings.
• Maintain the performance and reliability of vector databases such as Pinecone, Milvus, and Weaviate.
• Build knowledge graphs and semantic layers that provide context for autonomous AI agents.
• Develop automated data guardrails to detect noise, bias, and personally identifiable information before data reaches AI models.
• Identify and resolve data-quality issues across raw data sources and build, deploy, and maintain CI/CD pipelines for data infrastructure.

Requirements

• Expertise in data mining, data storage, and ETL processes.
• Experience developing data pipelines with tools such as Glue, Databricks, Synapse, or Dataproc.
• Experience with relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB.
• Strong problem-solving, analytical, critical-thinking, communication, and prioritization skills.
• Ability to translate business needs into technical requirements and collaborate with technical and non-technical colleagues.

Nice to have

• Experience as a Data Engineer or in cloud modernization.
• Experience with data modeling and creating conceptual models for business processes.
• Professional or cloud certifications in data engineering, AWS, Google Cloud, Azure, Elastic, or related areas.
• Understanding of GitHub, Visual Studio, social coding, and integrated development environments.
• Degree in Computer Science, Software Engineering, Information Technology, or another scientific discipline.

Culture & Benefits

• Partially remote, hybrid-friendly work environment.
• Support for financial, mental, physical, and social well-being through Be Well programs.
• Career development through personalized goals, continuous feedback, coaching, certifications, and hands-on learning.
• Inclusive culture focused on belonging, empathy, continuous learning, and shared success.