Rox

Technology

CoreEngineer

$145–210k ~AI est. San Francisco, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Core Engineer at Rox. Skills: Autonomous agent platform, Distributed systems, Real-time data, AI reliability. Build infrastructure for autonomous agent execution. Design systems for deterministic agent behavior”

What You'll Achieve.

Contribute to production systems; Design core systems; Improve core systems; Define technical foundation

Industry & Context.

Technology
Problems you'll solve

Systems intuition; Reason about long-term architecture

What They're Looking For.

Must Have

Background in distributed systems, Platform engineering background, Experience building high-scale backend infrastructure, Systems fundamentals, Experience with streaming systems, Experience with distributed databases, Experience with real-time infrastructure, Ability to independently design and ship complex technical systems, Product and engineering judgment

Nice to Have

Apache Flink experience, Distributed query engines experience, Real-time OLAP systems experience, Graph retrieval systems experience, Semantic search infrastructure experience, Streaming compute systems experience, Large-scale platform engineering experience, AI infrastructure and orchestration systems experience, Open source contributors, Infrastructure specialists, Technical force multipliers

What You'll Do.

Build infrastructure for autonomous agent execution

Design systems for deterministic agent behavior

Design systems for auditable agent behavior

Develop low-latency retrieval systems

Develop context systems

Build graph-based infrastructure

Build semantic retrieval systems

Improve observability across agent systems

Improve debugging across agent systems

Improve reliability across agent systems

Work on real-time data ingestion

Work on streaming architectures

Collaborate with platform teams

Collaborate with AI teams

Collaborate with product teams

Shape long-term architecture

Operate foundational infrastructure

How You'll Work.

Team & Collaboration

Platform engineering teams; AI engineering teams; Product engineering teams

Full Job Description

ABOUT ROX Rox https://www.rox.com/?utm_source=chatgpt.com 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 infrastruct

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