AI Infrastructure Engineer
Benefits:
Flexible work culture
Competitive compensation
Equity options
Rapid growth opportunities
Shape the future of AI infrastructure
Experience Requirements:
Experience with GPU orchestration, vector databases, or LLM deployment frameworks
Background in building AI tooling or agent frameworks
Knowledge of event streaming (Kafka, Pub/Sub) or workflow engines
Other Requirements:
Highly skilled in architecting and building distributed backend services
Thrives in high-scale systems, microservice architectures, and cloud-native environments
Responsibilities:
Design and build scalable microservices to support multi-agent AI orchestration
Develop backend infrastructure using Node.js and Python
Architect cloud-based solutions using AWS and Google Cloud
Implement real-time communication systems between AI agents
Optimize compute workloads across GPU, CPU, and distributed execution environments
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