Staff Forward-Deployed AI Engineer (Remote)

Rula; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

100% remote work environment

Attractive pay and benefits

Comprehensive health benefits

401(k) plan access

Generous time-off policies

Paid parental leave

Employee Assistance Program (EAP)

Quarterly department stipend

Community and employee resource groups

Home office stipend

Wellness at Rula program

Job summary

Rula looks for a Staff Forward Deployed Engineer to work with core business and clinical teams. You will learn how work is performed, ship tools that cut multi-hour tasks to minutes, and create reusable building blocks for future teams. Privacy-by-design is central as we serve mental health patients.

You will stay with teams until tools run independently and then translate learnings into scalable components for other teams, enabling faster delivery across the organization.

Qualifications

• 8+ years shipping production-quality software with end-to-end ownership.
• Proven track record of shipping tools used weekly by customers with telemetry.
• Deep experience learning operational workflows via observation/interviews/data before designing software.
• Daily use of coding agents with privacy‑by‑design standards.

Responsibilities

• Ship tools used weekly by the team, turning long tasks into short flows.
• Work with a team to understand how work gets done and build reusable building blocks.
• Ensure privacy is incorporated from day one when serving patients.

Skills

8+ years shipping software

Ownership of outcomes

Tool delivery to customers

Customer-centric discovery

AI fluency and engineering workflow

Job description

Rula looks for a Staff Forward Deployed Engineer to work with core business and clinical teams. You will learn how work is performed, ship tools that cut multi-hour tasks to minutes, and create reusable building blocks for future teams. Privacy-by-design is central as we serve mental health patients.

You will stay with teams until tools run independently and then translate learnings into scalable components for other teams, enabling faster delivery across the organization.