Principal AI Engineer (Remote)

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): Supporting your mental and physical health - Quarterly department stipend: Fun team-building activities or in-person gatherings - Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all - Home office stipend: New hire home office stipend & $50 monthly stipend to help cover intern