The easiest way to extract AI ready data from the web
Firecrawl is the easiest way for developers to gather LLM-ready data from the web. Our mission is to empower AI developers with the highest-quality, structured web data—seamlessly. We’re growing rapidly and looking for an ambitious, resourceful, and execution-driven AI Engineer to join our founding team.
As a Founding AI Engineer, you'll work at the cutting edge of data extraction with AI. You’ll build AI infrastructure (Agents, RAG pipelines, model fine-tuning and training), contribute to our open-source frameworks, and ship AI-driven products that power real-world applications. If you thrive in fast-paced environments, love solving deep technical problems, and want to build something groundbreaking, this role is for you.
Ready to build the future of AI-powered data infrastructure? Apply now and join Firecrawl’s founding team!
Salary expectation: we pay local rates - hence the large range in the post. Here is a more in depth explanation on why we do so: https://handbook.gitlab.com/handbook/company/culture/all-remote/remote-compensation/
Please keep your initial message to a few senteces/bullet points. The more rich but concise you are with your experience and why you are interested, the better.
Try to stand out in the first 2 sentences.
Our process is fast, transparent, and designed to respect your time.
Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call. We crossed 19k GitHub stars in just 6 months and have had paying customers since day one.
Previously, we built Mendable, one of the first commercially available “chat with your data” applications. We sold to companies like MongoDB, Coinbase, Snapchat, and more. To do this, we spent a surprising amount of time building reliable infrastructure for getting clean data from the web. When we started to see our founding friends rebuilding the same thing, we thought we might be on to something.