Lead MLOps Engineer

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. 

Frequently, medications cause more harm than good. Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine 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 that 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, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers. 

Why is Arine a Great Place to Work?:

Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work. We have a relentless passion and commitment to the innovation required to be the market leader in medication intelligence.

Making a Proven Difference in Healthcare - We are 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 medications therapies which cost the US 275,000 lives and $528 billion annually.

Dramatic Growth - Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market, and was ranked 236 on the 2024 Inc. 5000 list and was named the 5th fastest-growing company in the AI category.

​​About the Role:

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

You’ll 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 that 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.

What You’ll Do:

• 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 with Arine’s platform.
• Model Evaluation and Governance: Help implement automated evaluation and auditing pipelines for ML/LLM output, ensuring systems are operating safety, reliability, and in a cost-effective manner.
• Tooling and Automation: Set up CI/CD pipelines, experiment tracking, model registries, and evaluation sandboxes to accelerate AI delivery.
• Cross-Functional Collaboration: Partner with AI engineers, data scientists, product teams, and DevOps to ensure ML/LLM capabilities are delivered smoothly into production environments.

What We’re Looking For:

• 10+ years of experience in backend engineering, MLOps, platform engineering, or related roles — ideally at a Staff-level or equivalent.
• Proven track record of shipping production AI/ML and GenAI systems at scale.
• Deep experience with AWS-native infrastructure and services (e.g., S3, Lambda, Bedrock, SageMaker, CloudWatch, ECS/Fargate).
• Proficient in Python and Pytorch, with strong software engineering fundamentals and comfort working with infrastructure-as-code tools (e.g., Terraform, GitHub Actions) to manage cloud-based deployment pipelines.
• Demonstrated success setting up MLOps and LLMOps pipelines, including Deep Learning-based pipelines — from training and evaluation through deployment, monitoring, and retraining.
• Knowledge of LLMOps best practices: prompt management, cost/performance optimization, failure handling, and agentic flow orchestration.
• Experience setting up monitoring, alerting, and governance processes for AI models and GenAI features.
• Strong cross-functional collaborator — able to partner with ML and GenAI engineers to quickly translate ideas into scalable systems.
• Bonus: Hands-on experience as a machine learning engineer or prompt engineer, with empathy for what it takes to build high-quality AI outputs.
• Extra Bonus: Experience working in healthcare or other regulated environments with privacy and compliance constraints.

Remote Work Requirements:

• An established private work area that ensures information privacy
• A stable high-speed internet connection for remote work

Perks:

Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs.

The posted range represents the expected salary for this position and does not include any other potential components of the compensation package, such as benefits and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The salary range for this position is: $180,000-190,000/year.

Job Requirements:

• Ability to pass a background check
• Must live in and be eligible to work in the United States

Information Security Roles and Responsibilities:

All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine.

Arine is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission.

Check our website at https://www.arine.io. This is a unique opportunity to join a growing start-up revolutionizing the healthcare industry!

Job Offers: Arine uses the arine.io domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam. 

Note to Recruitment Agencies: We appreciate your interest in finding talent for Arine, but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Arine without a prior written agreement in place will be considered property of Arine, and no fee will be paid in the event of a hire. Thank you for your understanding.