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 systemsreal-time decisioningagent execution frameworkssemantic retrieval systemslow-latency streaming infrastructureknowledge 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 orchestrationdistributed execution systemsgraph-based retrieval infrastructurestreaming and real-time context systemsobservability for autonomous workflowslow-latency data and inference pipelines The problems here look less like traditional SaaS application engineering and more like:real-time OLAP systemsstreaming compute platformsdistributed databasessemantic retrieval systemsdeterministic execution infrastructurehigh-scale platform engineering At Rox, agents continuously:retrieve contextreason across changing statetrigger actionsupdate workflowscoordinate 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 infrastructurestreaming systemssemantic search infrastructuregraph-based retrieval systemsexecution runtimesreliability infrastructurelow-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 DoBuild infrastructure for reliable autonomous agent executionDesign systems for deterministic, auditable agent behavior at enterprise SLAsDevelop low-latency retrieval and context systems powering AI workflowsBuild and scale graph-based infrastructure and semantic retrieval systemsImprove observability, debugging, and reliability across distributed agent systemsWork on real-time data ingestion and streaming architecturesCollaborate closely with platform, AI, and product engineering teamsHelp shape the long-term architecture behind Rox's agent runtime Problems You'll Work OnReliability for long-horizon AI workflowsAgent orchestration across distributed systemsDeterministic execution for autonomous systemsStreaming context ingestion and retrievalKnowledge graph infrastructureReal-time state synchronizationLow-latency execution pipelinesEnterprise-grade observability for agent systems Must-Have QualificationsStrong background in distributed systems or platform engineeringExperience building and operating high-scale backend infrastructureStrong systems fundamentals across networking, concurrency, storage, and reliabilityExperience with streaming systems, distributed databases, or real-time infrastructureAbility to independently design and ship complex technical systemsStrong product and engineering judgment Particularly Relevant Backgrounds We'd especially love to speak with engineers who have experience in areas like:Apache Flinkdistributed query enginesreal-time OLAP systemsgraph retrieval systemssemantic search infrastructurestreaming compute systemslarge-scale platform engineeringAI 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.