Skill specialists
Hire 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
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Yassin Salimu
Kombo Edouard
Abhishek
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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