Job Url: https://www.remoterocketship.com/company/league/jobs/principal-ai-engineer-united-states-remote

Job Description: 
League
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League is a leading healthcare technology company that provides a platform designed to transform the healthcare consumer experience. Its platform offers digital infrastructure for data-driven, personalized consumer interactions, enhancing engagement and satisfaction for health plans, payers, and providers. 

League's solutions focus on creating innovative member experiences, acting as a digital destination for consumer health, and providing omni-channel patient experiences. With a focus on data security and compliance, the platform supports personalized care and modernizes healthcare interactions using data and AI. 

Additionally, League collaborates with partners to enrich the healthcare ecosystem and facilitates technology teams in developing their own solutions through its developer program. 

Insurance • Health Benefits • Employee Health Benefits • HR • Mobile App


501 - 1000 employees


Founded 2014

⚕️ Healthcare Insurance

☁️ SaaS

🤖 Artificial Intelligence

Principal AI Engineer
August 28

🇺🇸 United States – Remote

💵 $214.8k - $268.5k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

Airflow

Apache

AWS

Azure

Cloud

Distributed Systems

Docker

Google Cloud Platform

Hadoop

Kubernetes

NoSQL

Python

PyTorch

Scikit-Learn

Spark

Tensorflow

Terraform

Go

Apply Now


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📋 Description
• We are looking for a Principal AI Engineer to design, build, and scale the core platform enabling AI-driven products
• Act as technical leader and architect foundational systems and tools for ML model lifecycle
• Mentor others and set technical vision for operationalizing AI across League
• Ensure platform is robust, secure, and performant
• Establish standards for performance, security, data governance, and reliability
• Continuously evaluate new technologies and tools to improve AI platform

🎯 Requirements
• Extensive hands-on experience in software engineering and a strong understanding of the entire machine learning lifecycle
• Proven ability to design and build scalable, distributed systems
• Demonstrated experience with MLOps tools and practices, including CI/CD for machine learning, model versioning, and feature stores
• Expert-level proficiency in Python and familiarity with Go
• Experience with big data processing platforms like Apache Spark, Apache Beam, Hadoop
• Familiarity with TensorFlow, PyTorch, scikit-learn
• Expertise with AWS and/or GCP
• Experience with Kubeflow, MLflow, or AWS SageMaker
• Experience with Airflow or similar
• Expertise in Docker and Kubernetes
• Hands-on experience with Terraform
• Experience with relational and NoSQL databases, data warehousing and streaming technologies

🏖️ Benefits
• The job posting includes equal employment opportunity and assistance contact; also mentions bonus, equity, benefits but no explicit benefits list.