Principal AI Engineer - Personalization and Recommendation

The role

This person will own applied AI and ML solutions to power patient-provider matching, clinical workflows, and patient engagement. They will develop recommendation engines, retrieval models, and ML infrastructure to improve mental healthcare accessibility.

What you will do

• Own applied AI and ML solutions for mental healthcare
• Build production-grade AI systems for patient-provider matching and clinical workflows
• Drive search ranking, relevance, and patient-provider matching
• Direct foundational ML platforms at scale
• Develop and fine-tune models including Learning-to-Rank, embeddings, recommendation algorithms, and LLMs
• Design product-facing AI architectures and core ML infrastructure
• Unblock complex engineering problems
• Act as a technical multiplier for engineers

Required qualifications

• 10+ years of software engineering
• 7+ years of experience designing and scaling distributed systems
• 5+ years building and deploying production-grade ML applications
• 5+ years of hands-on experience building and optimizing search, ranking, relevance, or recommendation engines at scale
• 5+ years of strong programming experience in Python and at least one backend language
• 2+ years of experience building AI-powered products using foundation models and LLM integration patterns
• Proven track record working with traditional search/retrieval infrastructure and modern vector databases
• 3+ years of experience with MLOps, data pipelines, and rigorous evaluation systems

Nice to have

• Experience architecting secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.)
• 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 NLP, healthcare AI, or GenAI safety
• Experience contributing to early-stage team growth (0 to 1)
• Experience leading or mentoring engineering teams in AI, ML platform, or applied research domains

Benefits

• 100% remote work environment
• Medical, dental, vision, life, disability, and FSA/HSA
• 401(k) plan access
• Generous time-off policies including 2 company-wide shutdown weeks each year
• Paid parental leave
• Employee Assistance Program (EAP)
• Quarterly department stipend
• Community and employee resource groups
• New hire home office stipend
• $50 monthly stipend for internet or cell phone expenses
• Year-round wellness initiatives
• $50/month wellness stipend

Before you apply

• Must be based in United States
• Currently not hiring in Hawaii

About the company

Rula is a remote-first company dedicated to treating the whole person by providing evidence-based and compassionate mental healthcare.