# Principal AI Engineer - Personalization and Recommendation (Remote) at Rula

- Company: Rula
- What the company does: Rula is a leading company in the behavioral healthcare space reimagining how people access high-quality, affordable care. Rula believes that when access to quality mental healthcare improves, patients, providers, and payers all benefit. Backed by BlueCross BlueShield Venture Partners.
- Company website: https://rula.com
- Type: Startups (AI role)
- Level: Principal and up
- Location: Remote - United States
- Work setup: Remote
- Pay: $282K to $371K base salary per year (USD)
- Posted: 2026-08-25
- Apply by: 2026-10-14
- Apply: https://jobs.ashbyhq.com/rula/f9a905bb-e477-4679-923f-ba8aada1b9de
- Page: https://www.1752.vc/careers/jobs/rula-principal-ai-engineer-personalization-and-recommendation-remote/

## About the role

At Rula, this role owns the applied AI and ML solutions that determine what, how, and how well AI shows up across mental healthcare. The focus isn’t on isolated prototypes, but on building production-grade AI systems that directly power patient-provider matching, clinical workflows, and patient engagement.

## What they're looking for

- 10+ years of software engineering, including 7+ years of experience designing and scaling distributed systems, and 5+ years building and deploying production-grade ML applications
- 5+ years of deep, hands-on experience building and optimizing search, ranking, relevance, or recommendation engines at scale (e.g., Learning-to-Rank, collaborative filtering, deep recommender systems, semantic vector search)
- Strong proven track record working with both traditional search/retrieval infrastructure (e.g., Elasticsearch, OpenSearch) and modern vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus)
- 3+ years of experience with MLOps, data pipelines, and rigorous evaluation systems (offline metrics like NDCG/MAP, online A/B testing), with a demonstrated ability to define technical strategy and guide the broader AI/ML infrastructure ecosystem
- 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 and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.)

Tags: Engineering