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About the Role
The Foundations Engineer (Deep Infra) will design and operate the systems that power Rox’s agent runtime, sitting at the intersection of distributed systems, real-time data infrastructure, agent orchestration, and decisioning systems. You will work on infrastructure optimized for continuous AI decision loops rather than batch analytics.
Responsibilities
- Design and build core distributed systems powering Rox agents.
- Build infrastructure for real-time context ingestion and retrieval.
- Develop systems that enable low-latency agent decisioning at scale.
- Improve reliability, observability, and fault tolerance across agent infrastructure.
- Build execution frameworks that support long-running agent workflows.
- Collaborate closely with product engineers and forward deployed engineers to translate infrastructure capabilities into customer impact.
- Ship production systems quickly and evolve them based on real-world usage.
Requirements
- Experience building deep infrastructure systems in production.
- Strong intuition for latency, reliability, and scalability tradeoffs.
- Experience operating systems where real-world traffic exposes edge cases quickly.
- Comfort debugging complex distributed systems in production.
- A bias toward shipping systems, learning from production, and improving them continuously.
Skills
- distributed data platforms
- streaming compute systems
- real-time analytics infrastructure
- distributed query engines
- high-scale backend services
About the Company
- Rox is building the AI-native revenue operating system.
- Most enterprise software was built for humans operating dashboards. Rox is built for agents operating systems.
- Instead of static workflows, Rox runs continuous decision loops powered by real-time context from across the enterprise.
- Agents analyze signals, reason about them, and take action — automatically.
- To make that possible, we are building infrastructure that combines elements of distributed data platforms, real-time decision systems, agent execution frameworks, and low-latency context retrieval.
- We’re backed by Sequoia, GV, and General Catalyst and building a small team of engineers who want to work on deep technical systems problems with real-world impact.