FFirecrawl is hiringAI Engineer

Salary Range: $130,000-$180,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living.)

Equity Range: Up to 0.10%

Location: San Francisco, CA (Hybrid) OR Remote

Job Type: Full-Time (SF) OR Contract (Remote)

Experience: 2+ years

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 millions in ARR and 70k+ 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 for the AI era. We value autonomy, clarity, and shipping fast.

About the Role

We're looking for an AI Engineer to own the technical side of our partnerships motion. Your mission: make Firecrawl the default web data API that AI agents and tools reach for. You'll work directly with emerging AI-native companies - writing prompts, building evals, and ensuring Firecrawl integrations just work.

What You'll Do

• Craft and iterate on prompts that help AI agents reliably choose and use Firecrawl for web data tasks

• Build evaluation frameworks to test prompts across different models, use cases, and edge cases - then iterate relentlessly based on results

• Be the technical partner contact in Slack channels, helping partners implement Firecrawl into their products and troubleshoot issues in real-time

• Test obsessively - new models drop, agent architectures evolve, and you're on top of how Firecrawl performs across all of them

• Create integration guides and templates that make it dead simple for partners to ship Firecrawl-powered features

• Identify new partnership opportunities by understanding how AI tools are using web data and where Firecrawl fits

• Collaborate with Product and Engineering to surface partner feedback and shape the roadmap

Who You Are

• 2+ years working with LLMs - you've written production prompts, understand model quirks, and know what makes agents tick

• You ship code. Python, TypeScript, whatever - you can build evals, write scripts, and prototype integrations quickly

• You're a clear communicator who can help non-technical partners implement technical solutions

• You thrive in ambiguity - partnerships are messy, timelines shift, and you figure it out

• You're responsive and reliable - when a partner pings in Slack, you're on it

• Bonus: You've worked at an AI-native company or have experience with agent frameworks (LangChain, CrewAI, OpenAI Agents SDK, etc.)

• Bonus: You've done developer relations, solutions engineering, or technical partnerships before

Benefits & Perks

Available to all employees

• Salary that makes sense - $130,000-180,000/year OTE (U.S.-based), based on impact, not tenure

• Own a piece - Up to 0.10% equity in what you're helping build

• Generous PTO - 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge

• Parental leave - 12 weeks fully paid, for moms and dads

• Wellness stipend - $100/month for the gym, therapy, massages, or whatever keeps you human

• Learning & Development - Expense up to $150/year toward anything that helps you grow professionally

• Team offsites - A change of scenery, minus the trust falls

• Sabbatical - 3 paid months off after 4 years, do something fun and new

Available to US-based full-time employees

• Full coverage, no red tape - Medical, dental, and vision (100% for employees, 50% for spouse/kids) - no weird loopholes, just care that works

• Life & Disability insurance - Employer-paid short-term disability, long-term disability, and life insurance - coverage for life's curveballs

• Supplemental options - Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind

• Doctegrity telehealth - Talk to a doctor from your couch

• 401(k) plan - Retirement might be a ways off, but future-you will thank you

• Pre-tax benefits - Access to FSAs and commuter benefits (US-only) to help your wallet out a bit

• Pet insurance - Because fur babies are family too

Available to SF-based employees

• SF HQ perks - Snacks, drinks, team lunches, intense ping pong, and peak startup energy

• E-Bike transportation - A loaner electric bike to get you around the city, on us

Interview Process

1. Application Review

2. Intro Chat (~25 min)

3. Technical Deep Dive (~45 min)

4. Paid Work Trial (1-2 weeks)

5. Decision

If you're an AI engineer who lives in Slack, obsesses over prompt quality, and wants to make Firecrawl the infrastructure layer for AI agents everywhere - let's talk.

Compensation Range: $130K - $180K