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
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