You'll take AI engagements from first conversation to production system. That means scoping the right problem, shaping the system that solves it, building it to production standards, and proving it works in the real world.
Engagements span PE-backed portcos across compliance, financial services, FP&A, and logistics. Every one is a new domain, new team, a new set of constraints. A year here compresses what most AI builders get in five.
If you've shipped AI and felt the gap between "the demo worked" and "this is actually trustworthy in production," that's the gap we close for a living.
We work on a specific problem: getting AI to behave reliably in high-stakes production environments, where failure has real consequences. That shapes who we hire.
Most of us came from outside traditional AI/ML. What we look for is genuine curiosity about hard problems and a high bar for solving them well. This tells us more than where you studied or what's on your resume.
For engineers, walk us through something you built — not just where it worked, but where it broke and what you learned.
For product and design, show us a system you shaped: the trade-offs, the things you cut, the moments you pushed back on the brief.
If you're on the fence, reach out. We'd rather have a conversation than miss someone great.
Feel like we missed something? Email hiring@textlayer.ai if you don’t see your role and feel like you’d fit in. We’re always hiring.
