Engineering Manager, Gen AI

Summary

Join Rad AI's Gen AI Engineering team and lead a growing team of engineers, pioneering new approaches to healthcare-specific LLM deployment. You will define and execute the long-term Gen AI engineering strategy, drive innovative training and inference architectures, and collaborate with radiologists and ML researchers. This role requires 6+ years of software engineering experience, including 3+ years focusing on ML infrastructure and 2+ years leading technical teams. You'll need proficiency in Python and infrastructure-as-code tools, strong communication skills, and a passion for applying AI to healthcare. Rad AI offers a variety of benefits, including comprehensive insurance, 401k, flexible PTO, and a remote-first work environment.

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)
• Passion for applying AI to meaningful problems with direct impact on patient care

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

Preferred Qualifications

• Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization technologies
• Familiarity with specialized ML hardware like TPUs, specialized GPUs, or custom accelerators
• Knowledge of model optimization techniques, such as quantization and distillation, to reduce inference costs in real-world deployments
• Experience working with open-source LLM ecosystems (Hugging Face, LangChain, etc.)
• Experience in a fast-growing startup environment
• Healthcare technology experience or demonstrated interest in healthcare applications
• Background in building AI systems that comply with regulated environments (HIPAA, FDA, etc.)
• Track record of innovation and thought leadership in the AI community

Benefits

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA
• 401(k)
• 11 paid company holidays
• Location-flexibility (remote-first company!)
• Flexible PTO policy
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend