About the role
About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role We are looking for a Senior Software Engineer to build the rendering infrastructure behind a novel search engine designed for agentic AI. In this role, you will design systems that transform modern web applications into high quality structured content for search and AI. You will work on browser rendering, JavaScript execution, and large-scale rendering infrastructure capable of processing billions of pages efficiently. Modern websites increasingly rely on client-side rendering, dynamic data loading, and complex application frameworks. Your work will ensure we can reliably render, understand, and extract valuable information while minimising cost and latency. In this position, your responsibility will be to:
Design and build large-scale rendering systems for modern web applications Develop browser-based rendering infrastructure capable of executing complex JavaScript applications reliably Research how modern frontend frameworks render and deliver content Improve rendering quality, completeness, and performance across diverse websites Optimise rendering cost, latency, resource utilisation, and throughput at internet scale Translate rendering research into reliable production systems
You may be a good fit if you: Have 5+ years of experience as a software engineer working on production backend or infrastructure systems and are an expert in several of the following areas:
Browser Rendering Chromium rendering pipeline — DOM, Layout, Paint, and Compositing JavaScript execution inside browsers and rendering lifecycle and page readiness Headless browser execution and browser instrumentation Chrome DevTools Protocol (CDP) Playwright, Puppeteer, Selenium, or similar frameworks Modern Web Applications React, Vue, Angular, Svelte, and modern frontend architectures Server-side rendering (SSR), client-side rendering (CSR), and streaming rendering Single-page applications (SPA) and Progressive Web Apps (PWA) Resource loading, lazy loading, and modern JavaScript bundles
Strong candidates may also have experience with:
Building and operating high-throughput content processing pipelines at internet scale Distributed systems design and performance optimisation Open-source contributions or active involvement in the engineering community Conference talks or technical publications
We conduct coding interviews as part of the process. Why Tavily?
Full ownership — small team, you own the entire infrastructure, not a slice of it
Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests
AI-native company — your infra directly powers AI agents used by leading companies in the space.
About Tavily
Tavily is a search engine for LLMs and RAG that connects AI agents to the real-time web. The company provides a platform that enables AI agents to navigate live web data through a single, developer-friendly search layer. It also supports a wide range of applications, including fraud prevention at major financial institutions, logistics optimization for large-scale shipping providers, and academic research at leading institutions.
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Job details
Location
Remote
Funding
Total raised
$25M
Last stage
Series A
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.