Scan your resume against ATS criteria for this Principal AI Engineer - Personalization and Recommendation (Remote) role at Rula.
We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.
We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of's overall well-being.
We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.
Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.
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. While your immediate focus will be driving search ranking, relevance, and patient-provider matching, your broader scope encompasses our overarching personalization and recommendation strategies, alongside directing the foundational ML platforms that support them at scale.
You’ll operate where applied research, system architecture, and real-world clinical constraints meet. The work spans developing advanced recommendation engines and retrieval models, applying NLP and generative AI to clinical workflows, setting technical standards for AI safety, and making principal decisions about how machine learning is introduced into a high-stakes environment
This is a deeply hands-on role with real technical ownership. You’ll develop and fine-tune models (e.g., Learning-to-Rank, embeddings, recommendation algorithms, and LLMs), design both product-facing AI architectures and core ML infrastructure, unblock complex engineering problems, and act as a technical multiplier for engineers working across product surfaces. Success here means shipping applied AI features that tangibly improve match quality and the user experience, while simultaneously building scalable, durable AI foundations that others can build on confidently.
The opportunity is less about chasing the AI frontier for its own sake and more about shaping how applied ML responsibly becomes part of everyday mental healthcare. You will set the direction not just for our immediate relevance and recommendation systems, but for how the entire AI ecosystem—from infrastructure to advanced clinical applications—evolves to actively improve patient outcomes over time.
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)
5+ years of strong programming experience in Python and at least backend language (preferably TypeScript, Java, or Go), combined with 2+ years of experience building AI-powered products using foundation models (OpenAI, Anthropic, Gemini) and LLM integration patterns (RAG, agents, etc.)
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, 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.).
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 → 1)
Experience leading or mentoring engineering teams in AI, ML platform, or applied research domains
We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.
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How to apply for Principal AI Engineer - Personalization and Recommendation (Remote) at Rula?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
The salary for this role is USD 282,000 - 370,650/yr per annum.
What experience is required?
10+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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Principal AI Engineer - Personalization and Recommendation (Remote)
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