Engineering Manager, Gen AI

View full description

Requirements:

• 6+ years of experience in software engineering, with at least 3+ years focusing on ML infrastructure
• 2+ years of experience leading technical teams
• Working knowledge of advanced model customization and fine-tuning methodologies
• Experience deploying and operating production ML systems at scale
• Proficiency with Python and at least one infrastructure-as-code tool (Terraform, CloudFormation, etc.)
• Strong communication skills with the ability to translate complex technical concepts across teams
• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)

Responsibilities:

• Lead and mentor a growing team of Gen AI engineers, helping them develop professionally while tackling healthcare's most challenging AI problems
• Pioneer new approaches to healthcare-specific LLM deployment that balance clinical accuracy, performance, and regulatory requirements
• Define and execute the long-term Gen AI engineering strategy, balancing performance, cost, and reliability across healthcare AI applications
• Drive innovative training and inference architectures that can scale to support thousands of radiologists simultaneously
• Collaborate with radiologists and ML researchers to translate clinical insights into technical solutions that meaningfully improve patient care
• Establish technical partnerships with leading AI infrastructure providers to optimize our unique healthcare AI compute requirements
• Champion a culture of technical excellence, continuous learning, and ethical AI development