DoubleVerify

About DoubleVerify

Ensuring brand safety in digital advertising

πŸ‘₯ 251-1KπŸ“… Founded 2008πŸ“ New York, New York, United States

Key Highlights

  • Public company (NYSE: DV) since April 2021
  • Serves over 1,000 clients including Procter & Gamble and Unilever
  • Raised over $400 million in funding
  • Headquartered in New York City with a global presence

DoubleVerify, headquartered in New York City, is a leading software platform that provides digital media measurement and analytics. The company serves over 1,000 clients, including major brands like Procter & Gamble and Unilever, ensuring their ads are viewable and fraud-free. DoubleVerify went publ...

🎁 Benefits

DoubleVerify offers competitive salaries, equity options, generous PTO, flexible remote work policies, and comprehensive health benefits....

🌟 Culture

DoubleVerify fosters a data-driven culture with a strong emphasis on integrity and transparency in digital advertising. The company values innovation ...

Job Description

 

Who We Are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
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 every day. 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. 

We are global, with HQ in NYC and R&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.

 

What You Will Do

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.

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.

  • Architect and implement distributed services that power AI-driven applications.
  • Implement multi-step reasoning pipelines, retrieval-augmented generation (RAG), and domain-specific AI capabilities.
  • Build robust APIs, plugins, and integrations enabling AI agents to interact with external systems and data sources.
  • Create and refine proof-of-concepts, validating ideas quickly before scaling to production.
  • Implement monitoring, evaluation, and logging systems to track AI-powered features in production.
  • Work closely with product managers, designers, data scientists, and AI engineers to deliver user-focused solutions.
  • Stay curious about emerging AI frameworks, tools, and best practices to improve reasoning, planning, and autonomy in backend services.

 

Who You Are

  • Backend Specialist with a Passion for AI/GenAI, strong systems skills, and eagerness to grow in AI.
  • 5+ years in Python /Java/Scala/C#/ Go
  • Familiarity with LLM frameworks (LangChain, LangGraph, Haystack, etc.) or willingness to learn.
  • Basic understanding of prompt engineering, vector databases, and retrieval-augmented generation (RAG).
  • Solid knowledge of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Proven track record in building scalable, distributed systems.
  • Strong problem-solving, ownership, and collaboration skills.

 

Nice-to-Have Skills

  •  Exposure to reinforcement learning, multi-agent systems, or autonomous planning.
  • Interest in ML Ops, AI model deployment, and scaling AI workloads.
  •  Experience with data engineering for AI (ETL pipelines, feature stores, embeddings).
  •  Any experience building AI-powered platforms or agent-based systems.




#Hybrid#

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