Rox
AI-native revenue operating system
CoreEngineering
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Core Engineering at Rox. Skills: distributed systems, real-time decisioning, agent execution frameworks, semantic retrieval systems, low-latency streaming infrastructure, knowledge graph architectures, agent reliability, orchestration, distributed execution systems, graph-based retrieval infrastructure, streaming and real-time context systems, observability for autonomous workflows, low-latency data and inference pipelines. Build infrastructure for reliable autonomous agent execution. Design sys”
What You'll Achieve.
enables autonomous enterprise workflows to operate reliably at massive scale
Industry & Context.
deep systems intuition; reason about long-term architecture under real-world scale constraints; systems thinking
What They're Looking For.
Must Have
background in distributed systems or platform engineering, Experience building and operating high-scale backend infrastructure, 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, product and engineering judgment
Nice to Have
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, engineers who have historically operated as technical force multipliers inside their organizations
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
and reliability across distributed agent systems
Work on real-time data ingestion and streaming architectures
Help shape the long-term architecture behind Rox’s agent runtime
How You'll Work.
Team & Collaboration
Collaborate closely with platform, AI, and 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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