Staff AI Data Engineer - Rockerbox

DoubleVerify; Remote; GBP 70,000 - 90,000; Full time

Job summary

A marketing intelligence company based in the United Kingdom is seeking a Staff AI Data Engineer to research and architect advanced data systems for AI driven solutions. The role entails applying data science techniques to optimize language models and solve complex marketing challenges. Candidates should have over 8 years of experience in data engineering or AI, along with hands-on skills integrating LLMs into production. This is an exciting opportunity to shape how AI systems are implemented in a dynamic business environment.

Qualifications

• 8+ years of experience in data engineering or related fields.
• Hands-on experience with LLMs integration.
• Strong understanding of experimentation and model tuning.

Responsibilities

• Design and implement large-scale data systems for AI.
• Use data science techniques for LLM optimization.
• Lead rapid prototyping and experimentation initiatives.

Skills

Data engineering

AI systems

Machine learning

Model evaluation

Strong communication skills

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 Staff AI Data Engineer, you’ll research, design, and architect data systems purpose-built for AI agents, automations, and decisioning engines. You’ll also apply data science and model-tuning techniques to optimize LLMs and solve complex marketing challenges for our clients.

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

Apply bleeding edge AI theory to the design and implementation of large-scale data systems that feed AI agents and autonomous workflows.

Use data science techniques to fine-tune, evaluate, and optimize LLMs for marketing-specific tasks: attribution insights, anomaly detection, summarization, classification, and automated recommendations.

Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive human tasks.

Build AI-driven automations that reduce manual work across Rockerbox and unlock new client-facing capabilities.

Design retrieval, orchestration, and memory layers that make our AI agents smarter over time.

Establish best practices for AI data quality, observability, experiments, and safety.

Lead R&D initiatives: rapid prototyping, experimentation, model evaluations, and productionization.

Mentor data scientists and engineers across organization to raise the bar on LLM use company-wide.

What You Bring

8+ years of experience in data engineering, AI, ML platforms, or large-scale distributed systems.

Hands-on experience integrating LLMs into production systems (OpenAI, fine-tuning, embeddings, RAG, vector stores, or custom agent orchestration).

Strong understanding of experimentation, model evaluation, and performance tuning.

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.

As set forth in DoubleVerify’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.