Teams at Arine

Designs, builds, and deploys AI-powered solutions for clinical workflows and medication management. Responsibilities include integrating LLMs and predictive models, developing scalable AI automation, shipping production-ready AI features, optimizing patient interventions, and monitoring model performance. The role requires close collaboration with engineers, data scientists, clinicians, and product managers while applying Python, ML frameworks, AWS infrastructure, NLP, and RAG techniques.

The Data Services Intern will support data modeling, pipeline monitoring, requirements gathering, dashboard development, documentation, and data quality validation. They will work with SQL, dbt, Snowflake, BI tools, ETL technologies, and AI-assisted development tools while collaborating with engineers and stakeholders. The role offers mentorship and hands-on experience building healthcare data solutions that support clinical interventions and patient outcomes.

Build AI capabilities for healthcare outreach, including transforming call transcripts into clinical SOAP notes and generating prompts that guide agent behavior. The intern will work with foundation models, real-time sentiment and care-gap understanding, guardrails, and personalized patient engagement workflows. The role requires Python, AWS, Azure AI, LLM, and prompt-engineering familiarity while collaborating with clinicians and engineering teams in a fully remote environment.