Principal AI Engineer - Personalization and Recommendation (Remote)
Core
Designing and scaling production-grade AI systems for patient-provider matching, clinical workflows, and personalization in mental healthcare.
Role type
Principal AI Engineer (Applied ML & Recommendation Systems)
Builds
Intelligent matching engines, recommendation algorithms, and foundational ML platforms for clinical applications.
Domain
Mental healthcare technology / Applied AI
Deliverable
production ML models
Required skills
Distributed systems architecture, Search & ranking algorithms, Vector databases, LLM integration, MLOps, Python, TypeScript/Java/Go
Preferred skills
HIPAA/GDPR compliance, Human-in-the-loop systems, Model interpretability, Open-source contributions, Team leadership
Technologies
Elasticsearch, OpenSearch, Pinecone, Weaviate, FAISS, Milvus, OpenAI, Anthropic, Gemini, RAG
Responsibilities
Develop and fine-tune recommendation models and LLMs, design product-facing AI architectures, define technical standards for AI safety, guide AI/ML infrastructure ecosystem, unblock complex engineering problems.
Seniority
Principal, hands-on IC with strategic direction
