Sr. Software Engineer II - AI Tooling and Interfaces - Rockerbox

Who We Are

DV is the leader in digital performance solutions, helping our advertiser and agency partners Verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, agencies, publishers, and digital ad platforms. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

Within DV, 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.

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.

What You Bring

• 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.

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between [$107,000 - $193,000]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!