Job Description

Position Overview

Arine is seeking a Lead MLOps / LLMOps Engineer to join our AI team. This role is responsible for driving the infrastructure and practices required to deploy and scale AI-driven systems in production. The ideal candidate thrives at the intersection of backend engineering and machine learning operations, and is excited to mentor and build within a growing team.

About Arine

Based in San Francisco, Arine is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs.

Arine is redefining excellent healthcare by solving critical issues through its software platform (SaaS). The company combines cutting-edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop and deliver personalized care plans on a massive scale for patients and their care teams.

Arine is committed to improving the lives and health of complex patients who have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, Arine delivers recommendations and facilitates clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers.

Why Arine is a Great Place to Work:

• Outstanding Team and Culture: A shared mission unites and motivates the team to do their best work, with a relentless passion and commitment to innovation required to be the market leader in medication intelligence.
• Making a Proven Difference in Healthcare: Arine is saving patient lives and enabling individuals to experience improved health outcomes, including significant reductions in hospitalizations and cost of care.
• Market Opportunity: Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today: non-optimized medication therapies, which cost the US 275,000 lives and $528 billion annually.
• Dramatic Growth: Arine is managing over 18 million lives across prominent health plans after only 4 years in the market, was ranked 236 on the 2024 Inc. 5000 list, and was named the 5th fastest-growing company in the AI category.

About the Role

You will be responsible for leading the design, deployment, and monitoring of reliable pipelines for both traditional ML models and GenAI systems, including agentic flows, prompt workflows, and foundation model orchestration. You will partner closely with AI/ML engineers, backend engineers, and data scientists to ensure our models and agents are production-ready, secure, and scalable.

This is a hands-on role with broad technical ownership across MLOps, LLMOps, and backend systems supporting ML and GenAI productionization.

Responsibilities

• Lead MLOps and LLMOps: Define and implement robust practices for versioning, training, evaluation, deployment, and monitoring of both classical ML models and generative AI systems.
• Agentic System Support: Help operationalize agent-based architectures and workflows, ensuring stability, observability, and integration with backend systems.
• Mentor and Guide: Provide technical mentorship to other engineers on the team, helping them own the productionization of AI/ML pipelines.
• Backend Engineering: Build and maintain APIs, Lambda functions, and infrastructure that power AI/ML systems, ensuring clean integration.

Requirements

• Information not provided in the original text.

Application Instructions

• Information not provided in the original text.

Company Information

• Company Name: Arine
• Location: San Francisco
• Industry: Healthcare Technology & Clinical Services
• Mission: To ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs.
• Technology Focus: Data Science, Machine Learning, AI, SaaS Platform, Medication Management, Personalized Care Plans.