From Rox Data Corp's posting. “We” and “our” refer to the employer.
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.
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
