Responsibilities
- Build distributed data acquisition systems that capture and structure the live web.
- Investigate browser internals, fingerprinting, and anti-automation systems to develop adaptive orchestration layers.
- Prototype and deploy automation frameworks using Playwright, Puppeteer, and CDP.
- Research network flows, JavaScript-based protections, and emerging web standards affecting automation.
- Integrate real-time web data into retrieval pipelines and LLM-powered agents with AI and infrastructure teams.
- Translate technical research into production-grade components and improve resilience, speed, and authenticity of web interaction.
Requirements
- 3–5 years of experience as a backend or systems engineer, ideally with large-scale, distributed, or web-facing infrastructure.
- Strong programming skills in Python or Node.js; Go or C++ experience is a strong plus.
- Production experience building and maintaining browser automation systems with Playwright, Puppeteer, or CDP.
- Solid understanding of browser internals, network protocols, and web interaction mechanisms.
- Experience designing high-performance, resilient systems handling scale, concurrency, and complex orchestration.
- Strong debugging and analytical skills for investigating edge cases, performance bottlenecks, and dynamic web behavior.
- Familiarity with cloud infrastructure, Docker, Kubernetes, and CI/CD is a plus.
- Experience integrating AI or retrieval systems into production pipelines is a plus.
- Excellent documentation, communication, and cross-functional collaboration skills.
- Must already be legally authorized to work in Israel; visa sponsorship is unavailable.
Benefits
- Position based in Israel.
- Existing legal authorization to work in Israel is required; visa sponsorship is not available.
About Tavily
With Tavily, your agents can search, extract, and reason with real-time web data through a single API. Our mission is to onboard the next billion AI agents to the web while delivering high-quality, fresh, and structured web context. Agents need to stay grounded as they scale from prototypes to production. That's why real-time web data across research, enrichment, conversational AI, and the products you ship is important. If you're looking for research agents that don't miss, hallucinate, or fall behind, try Tavily. A few of the ways different teams use Tavily include: - Prepping sales meetings with auto-generated account briefs (Sales & GTM) - Researching candidates and executives using live web profiles, while flagging reputational risks (Recruiting) - Tracking competitor positioning, release notes, and industry benchmarks using live reports, docs, and marketing materials (Product) - Researching investments across current news, filings and analyst commentary with citations you can trust (Finance) - Staying ahead of legal and regulatory changes by monitoring official government and regulator sites (Legal) - Monitoring supply chain disruptions across news, trade publications and regulatory feeds to keep procurement one step ahead (Risk) - Monitoring cybersecurity threats and vulnerabilities using live advisories, CVE feeds, vendor blogs and security forums on the web (Security) - Enhancing underwriting and claims decisions by enriching entities (policyholders, businesses, locations) with external data like financial health, legal history, and exposure indicators (Monitoring) - Tracking destination trends, events, and local sentiment by aggregating travel blogs, news, and social content to inform pricing, marketing, and planning (Events) Those are just a few examples. What do you want to build? Give it a try on Tavily.