Research Engineer — Search/IR

RESEARCH ENGINEER — SEARCH/IR

Research Engineer (Focused on Search/IR)

You'll own the search and information retrieval systems at the core of Firecrawl — the infrastructure that determines how we find, rank, index, and serve web content at scale. Retrieval quality is Firecrawl's deepest moat. As AI agents increasingly depend on multi-step search and enrichment, the gap between good retrieval and great retrieval compounds. You're the person who closes that gap — and widens it against every competitor. This is a full-stack search role where you'll build and operate everything from ingestion pipelines to serving layers. If you've built search indexes at massive scale and care deeply about ranking quality, freshness, and retrieval speed, this is the role.

Salary Range: $180,000–$290,000/year (Range shown is for U.S.-based employees. Compensation outside the U.S. is adjusted fairly based on your country's cost of living. You can explore how we calculate this here:

Equity Range: Up to 0.15%

Location: San Francisco, CA or Remote (Americas, UTC-3 to UTC-10)

Job Type: Full-Time

Experience: 3+ years building search/IR systems at scale

Visa: US Citizenship/Visa required for SF; N/A for Remote

ABOUT FIRECRAWL

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. In just a year, we've hit 8 figures in ARR and 100k+ GitHub stars by building the fastest way for developers to get LLM-ready data.

We're a small, fast-moving, technical team building essential infrastructure superintelligence will use to gather data on the web. We ship fast and deep.

WHAT YOU'LL DO

Build and operate search indexes at massive scale. Design, build, and maintain the indexing infrastructure that powers Firecrawl's core product. You'll handle billions of documents and care about every millisecond of latency and every byte of sto...