
501 - 1000 employees
DoubleVerify is a leading software platform for digital media measurement and analytics. Our mission is to make the digital advertising ecosystem stronger, safer and more secure, thereby preserving the fair value exchange between buyers and sellers of digital media. Hundreds of Fortune 500 advertisers employ our unbiased data and analytics to drive campaign quality and effectiveness, and to maximize return on their digital advertising investments – globally.Learn more at www.DoubleVerify.com.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $107k - $193k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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501 - 1000 employees
DoubleVerify is a leading software platform for digital media measurement and analytics. Our mission is to make the digital advertising ecosystem stronger, safer and more secure, thereby preserving the fair value exchange between buyers and sellers of digital media. Hundreds of Fortune 500 advertisers employ our unbiased data and analytics to drive campaign quality and effectiveness, and to maximize return on their digital advertising investments – globally.Learn more at www.DoubleVerify.com.
• 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.
• 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.
• eligible for bonus/commission (as applicable) • equity • benefits
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