About the Job:
The company, a leading crypto platform founded in 2011, offers an opportunity for a Senior Data Engineer to join the Agent Systems team. This team is focused on building internal AI-powered agents designed to enhance the speed of internal processes through automation and intelligent systems. The role operates at the intersection of AI, backend systems, and applied product engineering, demanding both prototyping and production reliability. Team members will work in collaboration with cross-functional partners to deploy agent-driven capabilities across the organization.
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Location: United Arab Emirates (Remote)
Work Conditions: Full-time, Remote
Key Responsibilities:
- Own and evolve streaming data pipelines that power live inference and real-time model serving across the company's AI infrastructure.
- 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, selecting the appropriate tools for each workload.
- Collaborate with ML engineers and AI infrastructure teams to establish data contracts, feature schemas, and pipeline SLAs.
- Drive pipelines towards real-time efficiency, reducing latency from hours to seconds.
- Ensure data quality, observability, and auditability of streaming and feature engineering systems.
- Contribute to tooling that intersects data engineering and model serving.
- Evaluate and integrate emerging streaming technologies into the team's technical roadmap.
What You Bring:
- A minimum of 5 years in data engineering, including at least 2 years focused on production streaming systems.
- Practical experience with RisingWave, Apache Flink, Kafka Streams, or similar stream processing frameworks.
- Strong understanding of feature store design, including online/offline consistency and low-latency serving.
- Experience constructing data pipelines that support production ML models.
- Proficiency in Python and/or Scala; SQL fluency is required.
- Familiarity with data quality frameworks and pipeline observability.
- Ability to function effectively in a fast-paced, ambiguous environment within an AI-centric team.
Nice to Haves:
- Direct experience with RisingWave in a production setting.
- Exposure to inference pipeline architecture or model serving infrastructure.
- Experience with feature platforms.
- Background in crypto or fintech sectors.
Language requirements were not explicitly mentioned in the job description.
Unless a specific application deadline is stated, applications are accepted on an ongoing basis.
