Sr. Staff AI Engineer - Applied AI at Rula

R
Rula

Sr. Staff AI Engineer - Applied AI

Remote

Full Time

#Engineering

#Healthcare

#Artificial Intelligence

#Python

#AWS

#GCP

#Distributed Systems

#Integration

#MLOps

#Databases

#Compliance

Rula is looking for a Sr. Staff AI Engineer - Applied AI

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At Rula, we are on a mission to transform mental healthcare by treating the whole person rather than just the symptoms. We envision a world where mental health support is accessible, destigmatized, and integrated into everyday well-being. By combining evidence-based care with deep compassion, we empower individuals to reach their full potential. We are looking for a visionary engineer to help us build the future of clinical AI.

Role at a glance

We are seeking a Sr. Staff AI Engineer to lead our applied AI initiatives. This is a full-time, senior-level position that is 100% remote, allowing you to work from anywhere in the United States, with the exception of Hawaii.

Your impact

  • Architect and maintain production-grade generative AI systems that directly enhance patient engagement, streamline provider workflows, and optimize clinical operations.
  • Establish technical standards for AI safety, reliability, and performance to ensure our tools are effective and trustworthy within a high-stakes, regulated healthcare environment.
  • Serve as a technical multiplier by defining system architecture and solving complex engineering challenges to support our broader engineering team.

What you'll need

  • Over 10 years of software engineering experience, including 7+ years working with public cloud providers like AWS or GCP and 5+ years building distributed systems.
  • At least 5 years of professional experience with Python and proficiency in an additional backend language such as Java, Go, or TypeScript.
  • A proven track record of 2+ years building AI-powered products at scale, specifically utilizing foundation models and modern orchestration frameworks like LangChain, LlamaIndex, or vector databases.
  • Deep expertise in MLOps, including data pipelines, model evaluation, and observability systems.
  • Strong communication skills in English and a passion for navigating the complexities of compliance and human-in-the-loop systems in healthcare.

Perks and compensation

We are committed to supporting your professional growth and personal well-being through a comprehensive benefits package:

  • Medical, dental, vision, life, and disability insurance.
  • 401(k) retirement plan access.
  • Generous paid time off, including two company-wide shutdown weeks per year.
  • Paid maternity and paternity leave.
  • Employee assistance program and dedicated wellness programs.
  • Home office budget and a monthly stipend for internet and cell phone expenses.
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