Senior AI Engineer, Personalization & Care Matching (Remote)

Rula; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Remote-friendly

Transparent pay

Health benefits

401(k)

Time off

Parental leave

EAP

Stipend

Diversity groups

Home office stipend

Wellness program

Job summary

Rula, a remote-first mental healthcare company in the United States, is seeking a senior AI/ML Platform Engineer to own production-grade AI systems that power patient-provider matching, clinical workflows, and engagement. You will ship scalable models and ML platforms with strong attention to safety and reliability.

You’ll build advanced recommender engines, retrieval models, and integration patterns for LLMs, setting standards for AI safety and responsible deployment across care pathways.

Qualifications

• 10+ years of software engineering, incl. 7+ years on distributed systems.
• 5+ years building search, ranking, or recommendation engines at scale.
• 5+ years Python and backend language plus 2+ years AI products using foundation models.
• 3+ years with traditional and vector DBs (Elasticsearch/OpenSearch, vector DBs).
• 3+ years MLOps, data pipelines, and offline/online evaluation.

Responsibilities

• Develop and fine-tune models (Learning-to-Rank, embeddings, recommender systems, LLMs).
• Design product-facing AI architectures and core ML infrastructure.
• Ship applied AI features to improve match quality and user experience.
• Define technical strategy for AI/ML infrastructure.

Skills

Distributed systems design

Search engines

Python & backend

LLM integration

Vector databases

Tools

Elasticsearch/OpenSearch

Pinecone

Weaviate

FAISS

Milvus

Job description

Rula, a remote-first mental healthcare company in the United States, is seeking a senior AI/ML Platform Engineer to own production-grade AI systems that power patient-provider matching, clinical workflows, and engagement. You will ship scalable models and ML platforms with strong attention to safety and reliability.

You’ll build advanced recommender engines, retrieval models, and integration patterns for LLMs, setting standards for AI safety and responsible deployment across care pathways.