Staff AI Data Engineer - Rockerbox
DoubleVerify
- Wrecclesham, England, United Kingdom
- Wrecclesham, England, United Kingdom
Über
Responsibilities
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.
Qualifications
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.
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Sprachkenntnisse
- English
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