Principal AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of applied AI and ML solutions in the mental healthcare sector.

• Enhance search ranking, relevance, and the matching process between patients and providers.

• Develop personalization and recommendation strategies.

• Oversee foundational ML platforms that support AI solutions at scale.

• Create advanced recommendation engines and retrieval models.

• Implement NLP and generative AI within clinical workflows.

• Establish technical standards for AI safety.

• Make key decisions regarding the integration of machine learning in high-stakes environments.

• Design and refine Learning-to-Rank models, embeddings, recommendation algorithms, and LLMs.

• Architect product-facing AI systems and core ML infrastructure.

• Resolve complex engineering challenges.

• Serve as a technical multiplier for engineers across various product areas.

• Release applied AI features that enhance match quality and user experience.

• Build scalable and robust AI foundations.

• Set strategic direction for relevance, recommendation systems, and the overall AI ecosystem.

• Enhance patient outcomes through responsible application of ML.

⛳️ Requirements

• Over 10 years of experience in software engineering.

• More than 7 years of experience in designing and scaling distributed systems.

• At least 5 years of experience in building and deploying production-grade ML applications.

• Minimum of 5 years spent building and optimizing search, ranking, relevance, or recommendation engines at scale.

• Extensive experience with Learning-to-Rank, collaborative filtering, deep recommender systems, or semantic vector search.

• At least 5 years of programming experience in Python and one backend language, preferably TypeScript, Java, or Go.

• Over 2 years of experience in developing AI-powered products using foundation models like OpenAI, Anthropic, or Gemini.

• Familiarity with LLM integration methods such as RAG and agents.

• Proven track record with Elasticsearch or OpenSearch.

• Demonstrated experience with vector databases such as Pinecone, Weaviate, FAISS, or Milvus.

• More than 3 years of experience with MLOps, data pipelines, and rigorous evaluation systems.

• Knowledge of offline metrics such as NDCG/MAP and online A/B testing.

• Capability to define technical strategy and steer the broader AI/ML infrastructure ecosystem.

• Must reside in the United States; Rula does not currently hire in Hawaii.

• Preferred: experience with secure and compliant AI solutions in regulated environments, including HIPAA and GDPR.

• Preferred: development of human-in-the-loop systems and clinical decision support frameworks.

• Preferred: creation of evaluation pipelines for human alignment, factual accuracy, or model interpretability.

• Preferred: contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety.

• Preferred: experience in early-stage team growth.

• Preferred: experience in leading or mentoring engineering teams in AI, ML platforms, or applied research domains.

🏝️ Benefits

• Fully remote work environment.

• Competitive pay and benefits with clear salary ranges.

• Comprehensive medical, dental, vision, life, disability, and FSA/HSA options.

• Access to a 401(k) plan.

• Generous time-off policies, including two company-wide shutdown weeks each year.

• Paid parental leave for birthing, non-birthing, adopting, and fostering parents.

• Employee Assistance Program (EAP).

• Quarterly departmental stipend for team-building activities or in-person gatherings.

• Community and employee resource groups.

• Home office stipend for new hires.

• $50 monthly stipend for internet or cell phone expenses.

• Year-round wellness initiatives.

• $50/month wellness stipend.

• Equity offered.

• Bonus included in total cash compensation range.