Principal AI Engineer - Personalization and Recommendation

This role owns applied AI and ML solutions for mental healthcare, focusing on production-grade systems for patient-provider matching, clinical workflows, and patient engagement. The immediate focus is on search ranking, relevance, and matching, with broader scope over personalization, recommendation strategies, and foundational ML platforms. The work includes developing recommendation engines, retrieval models, NLP, generative AI, setting AI safety standards, and making principal decisions about

10+ years software engineering including 7+ years distributed systems and 5+ years production ML. 5+ years building search/ranking/recommendation engines at scale. Strong Python and backend language experience, with 2+ years building AI products using foundation models (OpenAI, Anthropic, Gemini) and LLM integration (RAG, agents). Experience with Elasticsearch/OpenSearch and vector databases (Pinecone, Weaviate, FAISS, Milvus). 3+ years MLOps, data pipelines, and evaluation systems (NDCG/MAP, A/