Skill specialists
Hire Vetted Kafka Engineers
Browse engineers who design and operate high-throughput Kafka data streaming systems for real-time AI inference, online feature pipelines, and event-driven architectures.
Top matching AI talents
AI Specialization
Availability
Experience Level
Michael Kingslin
Eli
Asif
Manikandan Balasubramanian
Yassin Salimu
Ayesha Fatima
Wisnu Agastya
Hiring guide
Why companies hire Kafka experts
Apache Kafka powers the real-time data infrastructure of AI companies at scale. Kafka engineers design the event streaming architecture that feeds real-time AI features, enables online inference, and connects AI systems to live business events.
Popular projects
- Build a real-time event pipeline feeding live ML model inference
- Stream business events to trigger AI workflows automatically
- Sync data across systems in real time for online AI features
- Design high-throughput event architecture for AI at scale
What to look for
- Production Kafka cluster experience (tuning, partitioning, replication)
- Experience with Kafka Streams or ksqlDB for stream processing
- Knowledge of exactly-once semantics and delivery guarantees
Frequently asked questions
Why do AI companies use Kafka?
Real-time AI applications need fresh data immediately. Kafka enables low-latency event streaming that feeds real-time feature stores, triggers online inference, and connects AI models to live business events as they happen.
What is the difference between Kafka and a message queue like RabbitMQ?
Kafka is designed for high-throughput, durable, replicated event streaming with replay capabilities. RabbitMQ is a traditional message queue optimised for task distribution. For AI data pipelines and real-time feature stores, Kafka is almost always the right choice.
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