Core Engineering

About Rox

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 systems

real-time decisioning

agent execution frameworks

semantic retrieval systems

low-latency streaming infrastructure

knowledge graph architectures

We’re backed by Sequoia, GV, and General Catalyst and have grown rapidly from 15 to 75 people while shipping our platform years faster than the market expected. We already support Global 2000 customers across industries including banking, hardware, construction, and sovereign AI.

We are building for what enterprise AI systems will require two years from now — not just what exists today.

About the Core Engineering Team

Core Engineering builds the systems that make autonomous revenue agents reliable at enterprise scale.

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.

The Role

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.

What You’ll Do

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

Must-Have Qualifications

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

Particularly Relevant Backgrounds

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.

What Success Looks Like

In your first few weeks

You understand Rox’s architecture, agent runtime, and infrastructure stack deeply enough to contribute to production systems.

In your first few months

You are independently designing and improving core systems tied to agent reliability, execution, and retrieval performance.

Over time

You help define the technical foundation that enables autonomous enterprise workflows to operate reliably at massive scale.

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.

We believe this requires a new category of infrastructure engineering.

That is the problem space this team exists to solve.

Location

This role is based onsite in San Francisco.

We strongly believe that the speed and complexity of the problems we are solving benefit from in-person collaboration. We actively relocate exceptional engineers from around the world and currently have team members who have moved from Europe, Canada, Asia, and Australia to join Rox.

If you want to work on deep infrastructure problems at the frontier of autonomous systems, we’d love to talk.