About the job
Join DoubleVerify as a Senior AI Engineer and play a pivotal role in shaping the future of advertising technology.
About Us
Founded in Israel, DoubleVerify is a leading big data analytics firm (Stock: NYSE: DV). We monitor and analyze billions of ads daily for some of the world's largest brands. With the capacity to process over 100 billion events per day and peak rates exceeding 1 million requests per second, we deliver real-time analytics with minimal latency. Our mission is to ensure that every advertisement is fraud-free, contextually relevant, geographically targeted, and effectively engaging users throughout its lifecycle.
Our global presence spans multiple offices including our headquarters in New York City and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium, and San Diego. We thrive in a dynamic environment filled with challenges that require innovative solutions. If you are passionate about working in a large-scale setting and eager to contribute to products that significantly impact the industry and the web, we would love to have you on our team.
Your Role
We are seeking a dedicated Software Engineer with a keen interest in AI and Generative AI. You will be part of an innovation-driven team focused on developing agentic AI systems, autonomous software agents capable of executing complex tasks across diverse tools, APIs, and data sources.
Your responsibilities will include designing and implementing scalable backend systems that seamlessly integrate large language models and other AI technologies into production-level services. This position combines backend engineering, AI integration, and rapid prototyping, offering ample opportunities for learning, experimentation, and delivering impactful solutions.
- Architect and implement distributed services that drive AI applications.
- Develop multi-step reasoning pipelines, retrieval-augmented generation (RAG), and specialized AI capabilities.
- Create robust APIs, plugins, and integrations for AI agents to interact with external systems and data sources.
- Rapidly develop and refine proof-of-concepts to validate ideas before scaling them to production.
- Implement monitoring, evaluation, and logging systems to track AI features in a live environment.
- Collaborate closely with product managers, designers, data scientists, and AI engineers to create user-centric solutions.
- Stay updated on emerging AI frameworks, tools, and best practices to enhance reasoning, planning, and autonomy in backend services.
