LLM Engineer - Remote

Overview

As an LLM Engineer, you will support a product area within our Noa organization to deliver end-to-end LLM capabilities, working with a global team to enhance healthcare experiences through AI.

In Short

• Join a global Machine Learning and Data Science unit.
• Work on the Noa product line used by doctors across multiple countries.
• Collaborate with cross-functional teams to deliver LLM-driven initiatives.
• Design and deploy LLM services for text-based applications.
• Build Python projects and collaborate on production code.
• Research and design scalable prompt management strategies.
• Partner with AI Platform team to refine LLMOps best practices.
• Work with modern ML frameworks and MLOps practices.
• Contribute to strategic initiatives leveraging foundation models.
• Embrace a strong engineering culture focused on delivery.

Requirements

• At least one year of experience in LLM development.
• Expertise in production-grade LLM deployments.
• Good understanding of transformer architectures.
• Proficiency in Python.
• Experience in collaborative project development.
• Appreciation for good engineering practices.
• Experience in evaluating LLMs through systematic testing.
• Ability to manage timelines and prioritize tasks.
• Curiosity and eagerness to collaborate with teams.
• Strong knowledge in prompt engineering and information retrieval methods.

Benefits

• Remote or hybrid work model.
• Flexible working hours.
• 20/26 days of paid time off.
• Additional paid day off on your birthday or work anniversary.
• Private healthcare plan.
• Multisport card co-financing.
• Access to mental wellness support.
• Free English classes.