We’re improving how real things get made, moved, and maintained. We build applied AI systems for frontline teams in manufacturing and operations, combining software and hardware to reduce downtime, improve quality, and enable safer, faster execution.
Our founding team has built a unicorn and raised hundreds of millions from firms like Sequoia Capital and Tiger Global. We’re here to accelerate how the world builds things.
**The Role
**We’re hiring an Applied AI Engineer to turn messy, real-world data into production intelligence. You’ll own backend-heavy AI systems end to end: multi-modal ingestion pipelines, retrieval and reasoning systems, evaluation loops, and APIs that directly drive real-world decisions. Frontend experience is optional, but a strong plus.
What You’ll Do
- Design and ship system-level components that are fast, reliable, and observable
- Build and own APIs that are clean, composable, and production-grade
- Design evaluation and feedback loops that continuously improve model behavior
- Work directly with customers and product to ship what actually moves metrics
- Own reliability end to end: logging, crash capture, watchdogs, diagnostics
What We’re Looking For
- Strong backend fundamentals and a bias for ownership. You build and you run what you ship
- Highly driven, proactive, and uncomfortable with slow progress
- Good taste in system design, especially around APIs and data flows
- Experience shipping applied AI or ML systems to real users is a plus
- Fluency in TypeScript, data systems, and cloud infrastructure
- Comfortable operating in ambiguity, with urgency, in messy real-world environments
Bonus
- Frontend experience (modern JS frameworks)