Core Engineering

Rox Data Corp • San Francisco, CA

2d • Onsite

About The Position

Rox is building the AI-native revenue operating system, designed for agents operating systems rather than humans operating dashboards. Their platform runs continuous decision loops powered by real-time context from across the enterprise, where agents analyze signals, reason about them, and take action automatically. This requires building infrastructure that combines elements of distributed systems, real-time decisioning, agent execution frameworks, semantic retrieval systems, low-latency streaming infrastructure, and knowledge graph architectures. Rox is backed by prominent investors and has experienced rapid growth, serving Global 2000 customers across various industries. The company focuses on building for the future of enterprise AI systems.

The Core Engineering team at Rox is responsible for building the systems that ensure the reliability of autonomous revenue agents at enterprise scale. This team is central to Rox’s long-term technical strategy and manages foundational infrastructure related to agent reliability and orchestration, distributed execution systems, graph-based retrieval infrastructure, streaming and real-time context systems, observability for autonomous workflows, and low-latency data and inference pipelines. The challenges faced by this team are akin to those in real-time OLAP systems, streaming compute platforms, distributed databases, semantic retrieval systems, deterministic execution infrastructure, and high-scale platform engineering. Agents at Rox continuously retrieve context, reason across changing state, trigger actions, update workflows, and coordinate across systems. Core Engineering develops the infrastructure to make these processes fast, reliable, observable, and deterministic.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed