Backend/Infrastructure Engineer at well-funded pre-Series A AI infrastructure startup

As the first engineering hire, you will architect the core storage and retrieval systems that allow AI agents to possess persistent memory. You'll build high-performance infrastructure serving execution history in the hot path, ensuring agents learn from past runs. This is a high-ownership role for a systems expert ready to ship production-grade code.

• Design and implement the core storage and retrieval architecture to handle execution history and shared state across massive agent fleets.
• Build and maintain the high-performance SDK that early design partners use to integrate persistent memory into their production AI stacks.
• Profile system bottlenecks and optimize latency to maintain consistent sub-80ms performance while scaling the infrastructure to 100x current load.

• 4-8 years of experience building latency-sensitive production systems using performance-oriented languages like Rust, Go, or C++.
• Deep understanding of distributed systems and storage trade-offs, specifically with databases like Redis, RocksDB, or DynamoDB in high-traffic environments.
• Proven track record of taking vague problem statements from concept to production-ready systems without needing pre-defined specifications or hand-holding.

• Join as the first engineering hire with significant equity and direct influence over the foundational architecture of a high-growth AI infrastructure startup.
• Tackle the "goldfish memory" problem in AI by building a system that achieves sub-80ms retrieval speeds, faster than the blink of a human eye.
• Work in-person with an elite founding team in Canary Wharf, building the essential plumbing that makes agentic frameworks like LangGraph and CrewAI production-ready.