Lead MLOps Engineer, Arine
$180-190k
Comprehensive medication management
Be an early applicant
Comprehensive medication management
201-500 employees
Be an early applicant
$180-190k
201-500 employees
Company mission
To ensure that every individual receives the safest, most effective and most appropriate treatment for their unique and evolving healthcare needs.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Medication mismanagement costs the healthcare industry a huge amount of money every year, and what's more, it has a significant impact on patient outcomes. Arine solves this problem with its comprehensive medication management solutions.
Arine was founded by an experienced team of health experts and senior developers, whose joint expertise has shaped the platform considerably. Arine improves ROI for health plan providers, while improving patient satisfaction and reducing readmission rates. Confidence in Arine's tech is riding high in the industry, with the company raising an impressive amount of funding since its launch.
The health plan industry is changing rapidly, with many startups looking to disrupt outdated processes. However, Arine's considerable impact, financial backing and naming on the Inc 5000's 2024 list of fastest-growing private companies is a testament to its continued scalability.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Jun 2025
$30m
SERIES C
Aug 2022
$18.5m
SERIES B
Total funding: $59.5m
Company benefits
- Medical, dental & vision Insurance
- Flexible vacation
- Arine's 401k or Roth 401k benefit
- Remote
Company HQ
Financial District, San Francisco, CA
Leadership
Yoona Kim
(Co-Founder & CEO)Was Associate Director of Health Economics & Outcomes Research at Gilead Sciences. Also served as Head of Clinical Modeling & Analytics at Proteus Digital Health.
Penjit Moorhead
(Co-Founder & CTO)Worked as a Senior Developer Analyst at Lehman Brothers, and was a Senior Software Developer at Stanford Linear Accelerator Center. Then joined Proteus Digital Health as a Data Scientist.
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