Senior LLMOps Engineer - Remote

Overview

Heidi is on a mission to halve the time it takes to deliver world-class care. We believe that by 2050, every clinician will practice with AI systems that free them from administrative burdens and increase the quality and accessibility of care to patients across the world.

In Short

• Lead the architecture, design, and implementation of our end-to-end LLMOps platform.
• Build and maintain robust CI/CD/CT pipelines to automate model deployment.
• Engineer scalable model serving solutions using modern infrastructure.
• Collaborate closely with AI research and engineering teams.
• Champion best practices for model versioning and governance.
• Mentor mid-level and junior engineers.

Requirements

• Proven track record of designing and maintaining MLOps infrastructure.
• Hands-on experience with scalable, cloud-native infrastructure.
• Expertise in Python, cloud platforms (AWS, GCP, Azure), and containerization.
• Deep understanding of the machine learning lifecycle and operational challenges.
• Bachelor's or Master's degree in Computer Science or related field.

Benefits

• Flexible hybrid working environment, with 3 days in the office.
• Additional paid day off for your birthday and wellness days.
• A generous personal development budget of $500 per annum.
• Learn from some of the best engineers and creatives.
• Become an owner with shares in the company.
• Opportunity to create a global impact.