Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Building and evolving streaming data pipelines and feature stores for production ML models with an accent on real-time inference and low-latency data serving. Focus on designing scalable streaming systems using Flink or Kafka Streams, ensuring data quality, and partnering with AI infra teams to optimize model performance.

Location: Must be based in one of the following countries: UK, Argentina, Brazil, Bulgaria, Canada, Chile, Colombia, Cyprus, Czech Republic, Hungary, Ireland, Lithuania, Mexico, Peru, Poland, Portugal, Romania, South Africa, Spain, Sweden, Switzerland, or UAE.

Company

hirify.global is a leading global crypto platform founded in 2011, providing financial infrastructure and trading services to over 10 million users worldwide.

What you will do

• Own and evolve streaming data pipelines powering live inference and real-time model serving.
• Design and build feature stores that serve low-latency, high-reliability features to production ML models.
• Implement and maintain streaming systems using RisingWave, Apache Flink, or Kafka Streams.
• Partner with ML engineers to define data contracts, feature schemas, and pipeline SLAs.
• Drive the transition of batch pipelines to real-time to reduce latency from hours to seconds.
• Evaluate emerging streaming technologies and contribute to the team's technical roadmap.

Requirements

• 5+ years of experience in data engineering with at least 2 years focused on production streaming systems.
• Hands-on experience with RisingWave, Apache Flink, Kafka Streams, or comparable frameworks.
• Strong understanding of feature store design, including online/offline consistency and low-latency serving.
• Proficiency in Python and/or Scala, with SQL fluency.
• Experience building data pipelines that feed production ML models or inference systems.
• Must be located in one of the approved countries listed in the location section.

Nice to have

• Direct experience with RisingWave in production.
• Exposure to inference pipeline architecture or model serving infrastructure.
• Experience with feature platforms.
• Crypto or fintech domain experience.

Culture & Benefits

• Work in a globally distributed, diverse team environment.
• Opportunity to work on high-scale financial infrastructure and intelligent agent platforms.
• Commitment to merit-based hiring and professional growth.
• Support for continuous learning and technical innovation.