Rula
mental healthcare
PrincipalAIEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Principal AI Engineer at Rula. Skills: AI foundation, generative AI, architecture, applied research, production-grade systems, RAG, agentic loops, technical excellence, safety in a regulated environment. own the AI foundation that determines how generative AI shows up across mental healthcare. operate where architecture, applied research, and real-world clinical constraints meet”
What You'll Achieve.
empower individuals to take charge of their mental health and achieve their full potential; making a positive impact on the lives of those struggling with mental health issues; be a force for positive change in the field of mental healthcare; power patient engagement and provider workflows at scale; setting the standard for technical excellence and safety in a regulated environment
Industry & Context.
designing/scaling distributed systems; applied research; real-world clinical constraints meet
must be based in United States, currently not hiring in Hawaii
What They're Looking For.
Must Have
10+ years of software engineering experience, 7+ years with Public Cloud (AWS, GCP, etc.), 5+ years designing/scaling distributed systems, 5+ years of deep experience in Python, 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
Nice to Have
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
What You'll Do.
own the AI foundation that determines how generative AI shows up across mental healthcare
operate where architecture
and real-world clinical constraints meet
production-grade systems that power patient engagement and provider workflows at scale
act as a technical multiplier
architecting core platform primitives (RAG
setting the standard for technical excellence and safety in a regulated environment
How You'll Work.
Team & Collaboration
leading or mentoring engineering teams
Full Job Description
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 wit
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