About The Role

Our systems need to maintain world state, coordinate tool execution, and serve low-latency inference across distributed deployments. You'll build the infrastructure that makes our memory and reasoning systems reliable and performant at scale.

What you'll do
Design and implement world state management for multi-agent systems
Build high-throughput inference serving infrastructure
Implement distributed coordination for tool execution
Optimize memory hierarchy for large-scale deployments
Ensure reliability and observability across the stack

Requirements
5+ years experience in distributed systems or infrastructure
Solid experience with Python and at least one systems language (Rust, Go, C++)
Deep understanding of databases, caching, and storage systems
Experience with Kubernetes and cloud infrastructure (AWS/GCP)
Track record of building reliable, high-performance systems

Nice to have
Experience with ML serving infrastructure (Triton, vLLM, etc.)
Background in real-time systems
Familiarity with vector databases and embedding systems
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📌 Systems Engineer Distributed Systems Melbourne
🏢 Engram
📍 Melbourne