Senior AI Backend Engineer — Build Scalable Systems

Probook AI; Manhattan (KS); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Ramp card

Equity

Health benefits

Office snacks

Job summary

Probook is building the AI Operating System for home services, redefining how plumbing, HVAC, and electrical businesses run their dispatch processes. You will architect and ship core capabilities that directly impact ARR and customer adoption, collaborating with customers during onboarding and delivering scalable AI‑driven features.

This is ground‑floor work on a category‑defining platform, where your architecture decisions will shape the company’s direction as it scales from a small team to a

Qualifications

• 2–6 years of backend engineering experience, preferably at fast‑growing startups or as a founding engineer.
• Ability to understand existing codebases and ship meaningful contributions within 48 hours.
• Demonstrated track record of building scalable systems or products.

Responsibilities

• Build and deploy production AI systems that automate complex decision‑making for thousands of service businesses.
• Ship features at a pace matching quarterly initiatives at larger companies, including weekend sprints.
• Work directly with customers to translate workflows into technical solutions.
• Architect scalable backend infrastructure to support rapid growth.
• Own critical product features end‑to‑end, from design through deployment.

Skills

Backend engineering

Codebase mastery

AI integration

Customer empathy

Tools

AI frameworks

Job description

Probook is building the AI Operating System for home services, redefining how plumbing, HVAC, and electrical businesses run their dispatch processes. You will architect and ship core capabilities that directly impact ARR and customer adoption, collaborating with customers during onboarding and delivering scalable AI‑driven features.

This is ground‑floor work on a category‑defining platform, where your architecture decisions will shape the company’s direction as it scales from a small team to a