Sr AI Engineer

AI Engineer

Help us transform how an entire industry thinks about safety

Mojo AI is revolutionizing safety management in high-risk industries like construction and oil & gas. How are we doing this? With Safety Mojo – our groundbreaking, AI-powered app designed for frontline safety professionals. Right now, we're at an inflection point. We've proven product-market fit, we have incredible customers who love what we've built, and we're moving from startup phase into serious growth mode.

The next 18 months are going to prove that we're the new standard for safety technology. And we need exceptional professionals to help us do that

We're looking for an AI Engineer who gets genuinely excited about solving real problems with AI. Not someone who just wants to chase the latest models because they're new and shiny—we want someone who asks "what will actually make workers safer?" and "what will help safety managers prevent incidents before they happen?"

This isn't demo work. You'll be shipping features that construction superintendents use every morning to figure out where they need to be. Features the frontline needs in emergencies. Features that Spanish-speaking crews use to report what they're seeing in their own words. Your work directly impacts whether someone goes home safe at the end of their day.

Leading our workflow architecture

• We need to migrate our AI workflows to N8N and build something that's actually robust and scalable, not the patchwork of tools we've been using

• You'll design the workflow orchestration that connects our various AI models, data sources, and business logic in a way that makes sense

• Build workflows that are observable and self-healing, because they need to scale with us as we grow quickly

Making our NLP better

• Our conversational AI lets workers create safety reports just by talking—in English or Spanish. You'll optimize and fine-tune that experience

• We have this feature called "Ask Mojo" that turns complex safety manuals into natural conversations. It needs to get better at making sure workers get the right answer from the right document, every time

• Build context-aware understanding that knows the difference between "fall protection" on a 30-story building versus a 6-foot ladder—because that context really matters

Pushing our OCR and computer vision forward

• Our Flex PTP technology extracts structured data from any safety form, whether it's a pristine PDF or a mud-stained piece of paper photographed at sunset on a jobsite. We need to make this even better

• Improve accuracy on handwriting recognition, checkbox detection, form field extraction—all across wildly inconsistent formats

• Build intelligence that doesn't just extract text but actually understands what it means in a safety context

Collaborating across the team

• Work with product managers to turn user pain points into technical solutions that actually solve problems

• Partner with other engineers to make sure your AI models integrate smoothly into the broader platform

• Talk directly to customers sometimes to understand their challenges and make sure what you're building actually works for them

You've actually shipped AI to production

• You know the difference between a model that's 95% accurate in testing and an 85% accurate model that users actually trust in the real world

• You're comfortable across the full stack—from training models to designing APIs to orchestrating workflows

• You write code that other engineers want to maintain (or at least don't hate maintaining)

You care more about impact than the technology itself

• You get excited about solving a real problem imperfectly rather than building a perfect solution to the wrong problem

• You measure success by what users can do, not just by model metrics

• You're totally fine using "boring" technology if it's the right tool for the job

You're a self-starter who can handle ambiguity

• You don't wait around for perfectly specified requirements. You talk to users, figure out the core problem, propose solutions, and execute

• You can make technical decisions with incomplete information and then adjust as you learn more

• Someone can give you a vague goal…