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

**Who this is for** This role is for a systems-minded engineer who wants to build practical, real-world AI agents and orchestration pipelines that automate comp

Work type: remote

Location: United States

Salary: $107,000 – $193,000/yr

Type: Full-time

Summary

**Who this is for** This role is for a systems-minded engineer who wants to build practical, real-world AI agents and orchestration pipelines that automate complex business processes. **Key highlights** You will sit at the intersection of AI and data engineering, designing memory layers and automation workflows that turn high-volume data into actionable business outcomes. **You might be a good fit if you...** - Bring 6+ years of experience in distributed systems or data engineering. - Have hands-on experience integrating LLMs into production via RAG or agent orchestration. - Are comfortable working in ambiguous environments where you define the technical strategy. - Possess deep knowledge of data storage, retrieval latency, and system observability.

Job Description

Who Are We

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](https://urldefense.com/v3/__https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified__;!!P6nVbRxDCw3cNFlf!EJszlPs7CwYzNT-NJOg9EZZm8SLk_u9r0_XmHjJQZBRBzKMxMlLzRyQb5e9Gb6uO0F2xTBQvUt-QaHkxF-J6DnOrpLeuZQc$) 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!

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