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Principal AI Engineer (Remote)

Principal AI Engineer (Remote)🌐 Remote💼 Full-time🗓 2026-06-25

Core

Architecting core platform primitives (RAG, agentic loops) for generative AI in mental healthcare to power patient engagement and provider workflows.

Role type

Principal AI Engineer (Generative AI / Mental Health)

Builds

Production-grade AI foundation systems for patient engagement and provider workflows

Domain

Mental healthcare / Generative AI

Deliverable

production ML models

Required skills

distributed systems design, Python, backend languages (TypeScript/Java/Go), foundation model integration, LLM orchestration (RAG, agentic loops), MLOps, data pipelines, model evaluation, observability

Preferred skills

secure/compliant AI architecture (HIPAA/GDPR), human-in-the-loop systems, evaluation pipelines for alignment/accuracy, open-source AI contributions, team leadership/mentoring

Technologies

AWS, GCP, LangChain, LlamaIndex, OpenAI, Anthropic, Gemini

Responsibilities

Design durable production-grade systems, architect core platform primitives, set standards for technical excellence and safety in regulated environments

Seniority

Principal, hands-on IC with strategy & mentorship

Rewrite
## 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. ## What we offer 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.
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