Senior Software Engineer – Agentic Search, Scraping

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🕒 May 28

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏢 Enterprise

☁️ SaaS

AI • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• Build distributed data acquisition systems that capture and structure the live web • Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers • Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP) • Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation • Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents • Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor • Continuously evolve Tavily’s capabilities in resilience, speed, and authenticity of web interaction.

🎯 Requirements

• 3–5 years of experience as a backend or systems engineer, ideally working with large-scale, distributed, or web-facing infrastructure • Strong programming skills in Python or Node.js, with experience in Go or C++ considered a strong plus • Proven experience building and maintaining browser automation systems (Playwright, Puppeteer, or CDP) in production environments • Solid understanding of browser internals, network protocols, and web interaction mechanisms • Experience designing high-performance, resilient systems that handle scale, concurrency, and complex orchestration • Strong debugging and analytical skills - able to investigate edge cases, performance bottlenecks, and behavior under dynamic web conditions • Comfortable working in a fast-moving environment, collaborating closely with product, AI, and infrastructure teams to ship reliable systems quickly • Excellent documentation and communication skills to ensure smooth integration and operational visibility.

🏖️ Benefits

• Competitive compensation • Career growth and learning opportunities • Flexibility and work-life balance • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams