Sr. Software Engineer II - AI Rockerbox

DoubleVerify
United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Information Engineering Distributed Systems Python (Programming Language) Software Engineering SQL Databases Large Language Models Multi-Agent Systems Kubernetes Low Latency

Job description

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, 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.

What You’ll Do

  • 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.

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.

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