Applied AI Engineer, Team Lead

The role

You will research, experiment, and improve AI systems to build a reliable AI automation platform. You will also set technical direction and mentor other engineers.

What you will do

• Design experiments and test ideas to optimize key internal AI benchmarks
• Design and improve evaluation frameworks to accelerate the speed and direction of experimentation
• Train, fine-tune, and optimize machine learning models
• Perform rigorous evaluation and testing to ensure model accuracy, generalization, and performance
• Collaborate and contribute on the core product development to deliver higher platform capabilities
• Set up observability and monitoring systems to safety check model behavior in critical settings
• Set technical direction across experimentation and evaluation work
• Mentor and unblock other engineers

Required qualifications

• 5+ years of proven track record shipping high-quality code in challenging projects
• A track record of being the senior, steady hand on a team, comfortable operating with less oversight and setting the bar for others
• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
• Solid fundamentals in algorithms, data structures, system design
• Attention to detail and a first-principles thinking towards real world deployment of intelligent systems
• Experience shipping ML models to production

Nice to have

• Previous experience working with distributed computing systems in production

About the company

Luminai provides an integrated intelligence layer to automate manual workflows in healthcare operations. The company has raised $60M in funding and is backed by investors including Peak XV Partners, Define Ventures, General Catalyst, and Y Combinator.