
Senior Software Engineer (Agentic Search) - Scraping at Nebius
IsraelFull-timeSearchPosted 15 days ago
About the Role
<div class="content-intro"><p><strong>About Nebius:</strong></p>
<p>Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.</p>
<p>Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.</p>
<p>Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.</p></div><h3>The Role</h3>
<p>Tavily team is building the search engine for AI agents. We believe the future of work will be led by AI agents, and that requires restructuring how the web is accessed. Our Search API provides web access for AI agents, enabling real-time internet search optimized for LLMs and Retrieval-Augmented Generation (RAG). We are backed by leading investors and serve developers and enterprises worldwide. Our team is fast-moving and ambitious. We ship quickly, iterate constantly, and care deeply about impact.</p>
<p>As a Software Engineer - Scraping Specialist, you’ll build the systems that power how AI interacts with the live web. You’ll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.<br><br>This role blends technical understanding of browsers, networks, and automation with hands-on engineering. You’ll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.<br><br>Your work will directly shape Tavily’s ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.</p>
<h4>What You’ll Do</h4>
<ul class="_2a052c0c dcb56dc2">
<li>Build distributed data acquisition systems that capture and structure the live web</li>
<li>Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers</li>
<li>Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)</li>
<li>Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation</li>
<li>Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents</li>
<li>Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor</li>
<li>Continuously evolve Tavily’s capabilities in resilience, speed, and authenticity of web interaction</li>
</ul>
<h3>What We’re Looking For</h3>
<ul class="d9579f95 _005fca58">
<li>3–5 years of experience as a backend or systems engineer, ideally working with large-scale, distributed, or web-facing infrastructure</li>
<li>Strong programming skills in Python or Node.js, with experience in Go or C++ considered a strong plus</li>
<li>Proven experience building and maintaining browser automation systems (Playwright, Puppeteer, or CDP) in production environments</li>
<li>Solid understanding of browser internals, network protocols, and web interaction mechanisms</li>
<li>Experience designing high-performance, resilient systems that handle scale, concurrency, and complex orchestration</li>
<li>Strong debugging and analytical skills - able to investigate edge cases, performance bottlenecks, and behavior under dynamic web conditions</li>
<li>Comfortable working in a fast-moving environment, collaborating closely with product, AI, and infrastructure teams to ship reliable systems quickly</li>
<li>Excellent documentation and communication skills to ensure smooth integration and operational visibility</li>
</ul>
<h4>Nice to Have</h4>
<ul class="d9579f95 _005fca58">
<li>Familiarity with cloud infrastructure, containerization (Docker), Kubernetes, and CI/CD</li>
<li>Experience integrating AI or retrieval systems into production pipelines</li>
</ul><div class="content-conclusion"><p><strong>Benefits & Perks:</strong></p>
<ul>
<li>Competitive compensation</li>
<li>Career growth and learning opportunities</li>
<li>Flexibility and work-life balance</li>
<li>Collaborative and innovative culture</li>
<li>Opportunity to work on impactful AI projects</li>
<li>International environment and talented teams</li>
</ul>
<p><strong>What's it like to work at Nebius:</strong></p>
<p>Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI </p>
<p><strong>Equal Opportunity Statement:</strong></p>
<p>Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.</p>
<p>Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. </p>
<p>If you need accommodations during the application process, please let us know.</p></div>
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