Senior AI Platform Engineer

Twin Health

Senior AI Platform Engineer developing efficient AI/ML systems at Twin Health to improve metabolic health and happiness. Collaborating with cross-functional teams to ensure operational excellence in ML infrastructure.

Posted 6/8/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $180,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsDockerGoJavaKubernetesMicroservicesNoSQLPythonSparkSQL

About the role

Key responsibilities & impact

Architect, design, and build robust and efficient AI/ML systems for a production environment, focusing on backend distributed systems, microservices, and ensuring system accuracy.
Lead cross-functional initiatives end-to-end (scoping, timelines, dependencies), driving alignment across Data, Infra and ML Engineering.
Collaborate closely with AI/ML engineers to optimize workflows for model training, real-time inference, monitoring, and troubleshooting
Be a subject matter expert on ML infrastructure, providing guidance to both internal teams and external stakeholders.
Ensuring operational excellence and reliability of ML systems. Define and enforce SLAs around system performance, including latency, throughput, and resource utilization.
Develop tools for effective model management, continuous monitoring, and enhancing the efficiency and effectiveness of the entire ML lifecycle.
Actively engage in mentorship and knowledge sharing to promote a culture of continuous learning and improvement within the team.

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 5+ years of industry experience
Familiarity with architectural frameworks of large, distributed, and high-scale ML applications. Experience in the implementation of applications using LLM’s and GenAI is a huge plus.
Solid understanding of MLOps, data structures, and software design principles.
Proficiency in programming with Python and experience in other languages like Java or Go.
Strong knowledge in deploying scalable machine learning models, including experience with Docker, Kubernetes, and microservices architecture.
Experience with database technologies (e.g., SQL, NoSQL) and big data processing frameworks (e.g., Spark) is a plus

Benefits

Comp & perks

A competitive compensation package in line with leading technology companies
A remote and accomplished global team
Opportunity for equity participation
Unlimited vacation with manager approval
16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
401k retirement savings plan

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Hard Skills & Tools

AI/ML systemsbackend distributed systemsmicroservicesMLOpsdata structuressoftware design principlesPythonJavaGoscalable machine learning models

Soft Skills

leadershipcollaborationmentorshipknowledge sharingcommunicationorganizational skillsproblem-solvingalignment drivingcontinuous learningoperational excellence