LegalOS is building the AI-native immigration law firm for the world’s top talent and the companies that hire them.
Today, high-stakes immigration cases — O-1s, EB-1s, L-1s, H-1Bs, and other employment-based visas — are still handled through slow, expensive, manual law firm workflows. Companies can pay $10K–$35K and wait weeks or months for a process that should be dramatically faster, more transparent, and more software-driven.
LegalOS combines AI agents trained on decades of immigration case data with licensed attorney oversight to prepare USCIS-ready work visa petitions dramatically faster than traditional firms.
We have deep founder-market fit. Matthew, our CEO, previously founded Legal Bullet, an immigration software company recognized by Forbes 30 Under 30. Matthew and Rachel, our COO, are siblings who grew up around immigration law through their father’s 40+ year immigration practice. Claire, our CTO, rounds out the founding team with engineering experience building AI and compliance systems at scale.
This is a market we know firsthand: we have grown up around thousands of immigration cases, seen decades of attorney judgment up close, and understand the operational pain companies face when trying to hire and retain global talent.
We are hiring a Founding Engineer to help build the core product and AI workflows that make LegalOS scalable.
You will work directly with Claire, our CTO, and Matthew, our CEO, to turn complex immigration workflows into intuitive, reliable software used by clients, attorneys, and our internal case operations team.
You will own major product surfaces across our Next.js/TypeScript app, Supabase/Postgres backend, AI workflow orchestration, document generation system, and internal review tools.
This is not a normal full-stack role. Your job is to help turn LegalOS from a services-assisted workflow into a scalable, self-serve immigration platform.
The right person is part product engineer, part systems thinker, part AI workflow builder, and part founder. You should be excited to own the messy middle between “this workflow works manually” and “this is now a reliable product system that scales.”
In your first 30 days, you will learn the LegalOS product, case workflow, AI pipeline, and attorney review process. You will ship improvements to an existing product surface, understand where founder/operator/attorney time is being spent, and identify the highest-leverage automation opportunities.
In your first 60 days, you will own and ship a meaningful product workflow end-to-end — for example, improving case intake, evidence mapping, attorney review, document generation, or AI follow-up question generation.
In your first 90 days, you will have made LegalOS materially more scalable: reducing manual review time, improving case packet quality, or making a core workflow more self-serve for clients, attorneys, or internal operators.
The goal is not to ramp slowly. The goal is for you to become one of the people who defines how LegalOS is built.
This is a high-ownership founding engineering role. You should be comfortable talking to users, attorneys, and operators; understanding messy workflows; and building the product systems that make them 10x better.
If you want to help rebuild one of the most important legal infrastructure markets from first principles, we’d love to talk.
The AI-Native Immigration Law Firm
Salary
$175,000 - $240,000
Equity
0.75% - 2.25%
Location
Remote
Experience
3+ years
Total raised
$500K
Last stage
Pre-seed
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.