Sr. Software Engineer II at DoubleVerify

<p>&nbsp;</p> <p><strong>Who We Are</strong></p> <p>DoubleVerify is an Israeli-founded big data analytics company (Stock:<a href="https://www.google.com/finance/quote/DV:NYSE"> NYSE: DV</a>). We track and analyze tens of billions of ads every day for the biggest brands in the world.<br>We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years <strong>every day</strong>. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle.&nbsp;</p> <p>We are global, with HQ in NYC and R&amp;D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.</p> <p>&nbsp;</p> <p><strong>What You Will Do</strong></p> <p>We're looking for a talented Software Engineer with enthusiasm for AI/GenAI to join our innovation-focused team building agentic AI systems autonomous, reasoning-driven software agents capable of orchestrating complex tasks across tools, APIs, and data sources.</p> <p>You'll design and build scalable backend systems that integrate large language models (LLMs) and other AI technologies into production-grade services. This role blends backend engineering, AI integration, and rapid prototyping, with room to learn, experiment, and deliver impactful, scalable solutions.</p> <ul> <li>Architect and implement distributed services that power AI-driven applications.</li> <li>Implement multi-step reasoning pipelines, retrieval-augmented generation (RAG), and domain-specific AI capabilities.</li> <li>Build robust APIs, plugins, and integrations enabling AI agents to interact with external systems and data sources.</li> <li>Create and refine proof-of-concepts, validating ideas quickly before scaling to production.</li> <li>Implement monitoring, evaluation, and logging systems to track AI-powered features in production.</li> <li>Work closely with product managers, designers, data scientists, and AI engineers to deliver user-focused solutions.</li> <li>Stay curious about emerging AI frameworks, tools, and best practices to improve reasoning, planning, and autonomy in backend services.</li> </ul> <p>&nbsp;</p> <p><strong>Who You Are</strong></p> <ul> <li>Backend Specialist with a Passion for AI/GenAI, strong systems skills, and eagerness to grow in AI.</li> <li>5+ years in Python /Java/Scala/C#/ Go</li> <li>Familiarity with LLM frameworks (LangChain, LangGraph, Haystack, etc.) or willingness to learn.</li> <li>Basic understanding of prompt engineering, vector databases, and retrieval-augmented generation (RAG).</li> <li>Solid knowledge of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).</li> <li>Proven track record in building scalable, distributed systems.</li> <li>Strong problem-solving, ownership, and collaboration skills.</li> </ul> <p>&nbsp;</p> <p><strong>Nice-to-Have Skills</strong></p> <ul> <li>&nbsp;Exposure to reinforcement learning, multi-agent systems, or autonomous planning.</li> <li>Interest in ML Ops, AI model deployment, and scaling AI workloads.</li> <li>&nbsp;Experience with data engineering for AI (ETL pipelines, feature stores, embeddings).</li> <li>&nbsp;Any experience building AI-powered platforms or agent-based systems.</li> </ul> <p><br><br><br>#Hybrid#</p>