Principal AI Engineer (Remote)

Rula
US
Remote

Who this role is best for

Aimed at senior AI engineers with deep expertise in generative AI and distributed systems, working remotely in a regulated healthcare environment.

Best fit for

  • Senior engineers who have scaled AI products in regulated industries.
    — “architecting secure, compliant AI solutions in regulated environments
  • Hands-on technical leaders who design durable, production-grade AI systems.
    — “designing durable, production-grade systems that power patient engagement
  • Experts in LLM integration patterns like RAG and agentic loops.
    — “experience with LLM integration patterns such as RAG

Things to consider

  • Must be based in the United States, excluding Hawaii.
    — “must be based in United States, currently not hiring in Hawaii
  • Requires 10+ years of software engineering experience.
    — “10+ years of software engineering experience

How to stand out

  • Highlight experience with HIPAA or GDPR-compliant AI solutions.
    — “Experience architecting secure, compliant AI solutions in regulated environments
  • Show contributions to open-source AI frameworks or GenAI safety research.
    — “Contributions to open-source AI frameworks or applied research in GenAI safety
  • Demonstrate leadership in mentoring AI or ML engineering teams.
    — “Experience leading or mentoring engineering teams in AI or ML platform domains
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Principal

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and implement durable, production-grade systems
  • set the standard for technical excellence and safety in a regulated environment
Typical background
10+ years of software engineering experience5+ years designing/scaling distributed systems5+ years of deep experience in Python and at least one other backend language

Skills & requirements

Required

PythonTypeScriptJavaGoLLM Integration PatternsMlopsData PipelinesObservability SystemsPublic Cloud (aws, GCP)Distributed Systems

Preferred

Hipaa ComplianceGDPR ComplianceHuman-in-the-loop SystemsClinical Decision Support FrameworksEvaluation Pipelines For Human AlignmentModel InterpretabilityOpen-source AI Frameworks

Stack & domain

PythonTypeScriptJavaGoLlm Integration PatternsMlopsData PipelinesEvaluation SystemsObservability SystemsMental Healthcare

About the role

Original posting from Rula via Ashby

We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.

We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. 

We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.

Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.

About the Role

As a Principal AI Engineer at Rula, you will own the AI foundation that determines how generative AI shows up across mental healthcare. You will operate where architecture, applied research, and real-world clinical constraints meet, designing durable, production-grade systems that power patient engagement and provider workflows at scale. This is a deeply hands-on role where you will act as a technical multiplier, architecting core platform primitives (RAG, agentic loops) while setting the standard for technical excellence and safety in a regulated environment.

Required Qualifications

  • 10+ years of software engineering experience, including 7+ years with Public Cloud (AWS, GCP, etc.) and
  • 5+ years designing/scaling distributed systems.
  • 5+ years of deep experience in Python and at least one other backend language (TypeScript, Java, Go, etc.).
  • 2+ years building AI-powered products at scale with foundation models (OpenAI, Anthropic, Gemini, etc.).
  • 2+ years of experience with LLM integration patterns such as RAG, agentic loops, and orchestration frameworks like LangChain or LlamaIndex.
  • 3+ years working with MLOps, data pipelines, evaluation, and observability systems for continuous model improvement.

Preferred Qualifications

While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement.

  • Experience architecting secure, compliant AI solutions in regulated environments (HIPAA, GDPR).
  • Familiarity with human-in-the-loop systems and clinical decision support frameworks.
  • Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability.
  • Contributions to open-source AI frameworks or applied research in GenAI safety.
  • Experience leading or mentoring engineering teams in AI or ML platform domains.

We're serious about your well-being! As part of our team, full-time employees receive:

  • 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii)
  • Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States
  • Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA
  • 401(k) plan access: Start saving for your future
  • Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees)
  • Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering
  • Employee Assistance Program (EAP): Support for your mental and physical health
  • New hire home office stipend: Set up your workspace for success
  • Quarterly department stipend: Fun team-building activities or in-person gatherings
  • Wellness events and lunch & learns: Explore a variety of engaging topics
  • Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all

Our team

We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone.  We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.

Source: Rula careers (Ashby)

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