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# Core Engineering

- **Company:** Rox Data Corp.
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Software as a Service, Software Debugging, Distributed Data Store, Distributed Systems, Graph Database, Online Analytical Processing, Open Source Technology, Data Streaming, AI Infrastructure, Delivery Pipeline, Multi-Agent Systems, Concurrency, Backend, Event Driven Architecture, Low Latency, Apache Flink, Real Time Data, Stream Processing, Automation Anywhere
- **Published:** November 9, 2026
- **Apply:** https://www.juju.com/job/28_25197_3b7eedb6bd5e33a3826cb1124236cc29

## About the Role

You are independently designing and improving core systems tied to agent reliability, execution, and retrieval performance., * Strong background in distributed systems or platform engineering

 * Experience building and operating high-scale backend infrastructure
 * Strong systems fundamentals across networking, concurrency, storage, and reliability
 * Experience with streaming systems, distributed databases, or real-time infrastructure
 * Ability to independently design and ship complex technical systems
 * Strong product and engineering judgment

## Description

This team sits at the center of Rox's long-term technical strategy and owns foundational infrastructure across:

 * agent reliability and orchestration
 * distributed execution systems
 * graph-based retrieval infrastructure
 * streaming and real-time context systems
 * observability for autonomous workflows
 * low-latency data and inference pipelines

The problems here look less like traditional SaaS application engineering and more like:

 * real-time OLAP systems
 * streaming compute platforms
 * distributed databases
 * semantic retrieval systems
 * deterministic execution infrastructure
 * high-scale platform engineering

At Rox, agents continuously:

 * retrieve context
 * reason across changing state
 * trigger actions
 * update workflows
 * coordinate across systems

Core Engineering builds the infrastructure that makes those loops fast, reliable, observable, and deterministic., We are hiring a Core Engineer to help design and operate the foundational infrastructure behind Rox's autonomous agent platform.

This role is ideal for engineers who have deep systems intuition and want to work on infrastructure problems at the frontier of AI reliability.

You might be a fit if you've spent time building:

 * distributed infrastructure
 * streaming systems
 * semantic search infrastructure
 * graph-based retrieval systems
 * execution runtimes
 * reliability infrastructure
 * low-latency backend platforms

Or if you've historically been "the person" inside your company for difficult infrastructure problems.

We care deeply about engineering craftsmanship, systems thinking, and people who can reason about long-term architecture under real-world scale constraints.

Why This Role Exists

Enterprise AI systems are moving toward autonomous execution.

The hard problem is not generating outputs. It's building reliable systems that can reason, retrieve context, coordinate actions, and operate deterministically under real-world enterprise constraints., * Build infrastructure for reliable autonomous agent execution

 * Design systems for deterministic, auditable agent behavior at enterprise SLAs
 * Develop low-latency retrieval and context systems powering AI workflows
 * Build and scale graph-based infrastructure and semantic retrieval systems
 * Improve observability, debugging, and reliability across distributed agent systems
 * Work on real-time data ingestion and streaming architectures
 * Collaborate closely with platform, AI, and product engineering teams
 * Help shape the long-term architecture behind Rox's agent runtime

Problems You'll Work On

 * Reliability for long-horizon AI workflows
 * Agent orchestration across distributed systems
 * Deterministic execution for autonomous systems
 * Streaming context ingestion and retrieval
 * Knowledge graph infrastructure
 * Real-time state synchronization
 * Low-latency execution pipelines
 * Enterprise-grade observability for agent systems, We'd especially love to speak with engineers who have experience in areas like:
 * Apache Flink
 * distributed query engines
 * real-time OLAP systems
 * graph retrieval systems
 * semantic search infrastructure
 * streaming compute systems
 * large-scale platform engineering
 * AI infrastructure and orchestration systems

Open source contributors, infrastructure specialists, and engineers who have historically operated as technical force multipliers inside their organizations tend to thrive here.