Remote-First Forward-Deployed AI Engineer (Applied AI)

SportsTechJobs; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Remote-first work environment

Transparent pay ranges

Health benefits

401(k) plan

Generous time-off

Parental leave

Employee Assistance Program

Home office stipend

Wellness stipend

Job summary

Rula is hiring a Staff Forward Deployed Engineer to join a remote-first team focused on Applied AI for mental health. You will sit with clinical and business squads, shipping tools weekly and reducing long manual processes to minutes.

Privacy-by-design guides every decision as you transform learnings into scalable building blocks. You will mentor teams, optimize AI workflows, and help migrate models to cost-efficient deployments while maintaining high quality and governance.

Qualifications

• 8+ years shipping production-quality software with end-to-end ownership of outcomes.
• Experience delivering tools or products used weekly by customers or teams.
• Deep experience learning operational workflows through observation/interviews or data.
• Daily use of coding agents with evaluation practices and privacy-by-design standards.

Responsibilities

• Collaborate with teams to ship tools they use weekly, turning long tasks into efficient workflows.
• Remain involved until tools run autonomously and create reusable building blocks for others.
• Ensure privacy by design when handling sensitive clinical data and operational tooling.

Skills

End-to-end ownership

Production-grade software

Operational workflow discovery

AI tooling

Privacy-by-design

Tools

Telemetry platforms

CRM systems

Billing systems

Job description

Rula is hiring a Staff Forward Deployed Engineer to join a remote-first team focused on Applied AI for mental health. You will sit with clinical and business squads, shipping tools weekly and reducing long manual processes to minutes.

Privacy-by-design guides every decision as you transform learnings into scalable building blocks. You will mentor teams, optimize AI workflows, and help migrate models to cost-efficient deployments while maintaining high quality and governance.