Foundations Engineer (Deep Infra)
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Role details
Tech stack
Job description
We are hiring a Foundations Engineer (Deep Infra) to design and operate the systems that power Rox’s agent runtime.
This role sits at the intersection of:
- distributed systems
- real-time data infrastructure
- agent orchestration
- decisioning systems
You will work on infrastructure similar to what powers large-scale data platforms - but optimized for continuous AI decision loops rather than batch analytics.
Many of the systems we are building resemble components from:
- streaming compute systems
- distributed query engines
- large-scale event processing pipelines
- matching and routing infrastructure
But with a new constraint: AI agents must operate continuously and reliably in production environments.
What You’ll Do
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
- distributed data platforms
- streaming compute systems
- real-time analytics infrastructure
- distributed query engines
- high-scale backend services
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.
Benefits & conditions
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
- 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.
About the Foundations Team
The Foundations team builds the core infrastructure behind Rox agents.
We work on the systems responsible for:
- real-time context ingestion
- agent execution and orchestration
- reliability for long-horizon AI tasks
- low-latency decisioning across distributed systems
If you’ve worked on systems like:
- streaming compute platforms
- distributed query engines
- real-time OLAP systems
- matching engines
- large-scale data infrastructure
many of the problems here will feel familiar - but applied to a new category of software.
At Rox, agents are constantly:
- retrieving context
- making decisions
- triggering actions
- updating state
The Foundations team builds the infrastructure that makes those loops reliable, fast, and observable.
Apply for this position
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