Firecrawl is revolutionizing how developers gather LLM-ready data from the web, making it seamless to extract and structure web data through a single API call. As a Founding AI Engineer, you'll be at the forefront of AI-powered data extraction, working on cutting-edge technologies including RAG pipelines, agent-based architectures, and LLM fine-tuning.
The role offers a unique opportunity to shape the future of web data extraction for AI applications. You'll be responsible for architecting AI infrastructure, building developer-friendly APIs, and contributing to open-source repositories that have already garnered 19k GitHub stars in just 6 months. The position combines technical depth with business impact, as you'll be working directly with a product that serves thousands of users and has paying customers since launch.
The ideal candidate brings strong expertise in AI/ML, particularly in NLP and deep learning, with experience scaling AI infrastructure. You should be passionate about experimentation with AI agents and have a track record of shipping high-performance AI products. The role offers significant autonomy and ownership, with the ability to ship features rapidly in a fast-paced startup environment.
Firecrawl emerged from the team's experience building Mendable, where they served major clients like MongoDB, Coinbase, and Snapchat. This background in building reliable web data infrastructure for AI applications positions the company uniquely in the market. The role offers competitive compensation with both salary and equity, reflecting the founding nature of the position.
The interview process is streamlined and respectful of candidates' time, moving from an initial intro call to technical discussions and a practical challenge, culminating in a culture fit review. This is an opportunity to join a rapidly growing startup that's already proven its market fit and is poised for significant expansion in the AI infrastructure space.