About The Position

Rockerbox is building the next generation of marketing intelligence, and we're looking for someone to help us build the AI systems everyone else just theorizes about. As a Sr. Software Engineer II in AI Tooling and Interfaces, you'll design and build systems purpose-built for AI agents, automations, and decisioning engines that drive real outcomes for our clients and internal teams. If you enjoy turning high-volume data into clean, powerful systems—and you want your work to drive real business outcomes rather than just dashboards—this role puts you right at the center of the action.

Requirements

  • 6+ years of experience in software engineering, data engineering, or large-scale distributed systems.
  • Hands-on experience integrating LLMs into production systems (embeddings, RAG, vector stores, or agent orchestration).
  • Strong proficiency in Python and SQL.
  • Experience with Kubernetes and container-based infrastructure and deployment.
  • You think in systems: storage, retrieval, metadata, reliability, latency, failure modes.
  • Ability to work from ambiguity to execution — you're comfortable being the first to figure something out.
  • Strong communication skills: you can explain tradeoffs, scope decisions, and technical strategy clearly.

Responsibilities

  • Work closely with engineers, product managers, and data teams to identify and prioritize AI opportunities across the organization.
  • Translate product requirements into AI-driven solutions that directly impact the client experience.
  • Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive tasks and unlock new client-facing capabilities.
  • Design and implement agentic workflows and orchestration pipelines that automate complex, multi-step processes.
  • Design retrieval, orchestration, and memory layers that make our AI agents smarter over time.
  • Establish best practices for AI data quality, observability, and safety.
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