Rox
Technology
CoreEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“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.
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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