Kavaliro is seeking a highly skilled Ai Data Engineer to support an Ai focused startup by building the learning data pipelines and architecture for an intelligence mechanism.
Requirements
Senior Ai Data Engineer with 7+ years of production experience across Python, Node.js/TypeScript, and cloud-native systems (GCP preferred, AWS/Azure acceptable)
Expert in data pipeline architecture, real-time event systems, and NoSQL design
Strong command of ETL orchestration, Pub/Sub messaging
Containerization (Docker/Kubernetes)
API resiliency patterns (OAuth2, rate limiting, etc)
Proven record of shipping fast, diagnosing systems end-to-end, and operating calmly in production stress
Experience with cloud-native systems (GCP preferred, AWS/Azure acceptable)
Responsibilities
build the learning data pipelines and architecture for an intelligence mechanism
design the data and feedback systems that allow an AI to learn, adapt, and improve on its own
define how information flows, remembers, and evolves within a next-generation intelligence engine
designing the data and feedback systems
shipping fast, diagnosing systems end-to-end, and operating calmly in production stress
build and maintain data pipeline architecture
work with real-time event systems and NoSQL design
Other
7+ years of production experience
Thrives in early-stage environments requiring autonomy and execution
Hybrid-local work arrangement (be in the office more than at home)
Relocation assistance available
Equal Employment Opportunities to all employees and applicants
