Engineering Manager, Gen AI

About Rad AI

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.

Rad AI has secured over $140M in funding, including a recently oversubscribed $60M Series C round led by Transformation Capital, bringing our valuation to $525M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact.

If you’re ready to shape the future of healthcare, we’d love to have you on our team!

Why Join us?

Our Gen AI Engineering team is pushing the boundaries of what's possible with large language models (LLMs) and advanced model customization. This is a unique opportunity to work at the intersection of AI and healthcare, where your technical leadership will directly contribute to reducing radiologist burnout and improving patient care. You will tackle the unique challenges of scaling AI in healthcare, including compliance, data privacy, and model robustness across diverse products.

This role reports to the VP of Engineering and your work will be highly visible across the company. You'll have significant autonomy, work with our team of healthcare and AI experts, and directly influence our technical strategy as we expand our reach across healthcare systems nationwide. If you're passionate about operationalizing AI at scale and building systems that have meaningful impact, this role is for you.

What You'll Be Doing:

• 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

Who We're Looking For:

• 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

Nice to Have:

• 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

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:

• 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

• For roles based outside the US, your recruiter can share more details

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.