AI Application Engineer (Contractor role)
About Ema
Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry-leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley with offices in London, Bangalore, and Vancouver, Ema is at the frontier of what Agentic AI can do in production—we ship real systems that run real business processes at scale.
About the Role
At Ema, we build AI Employees that operate inside the enterprise. Healthcare is where the bar is highest: the output must be accurate, auditable, and clinically sound. This part-time role focuses on agent measurement and improvement. You'll instrument how our healthcare AI Employees perform in production, identify where quality breaks down, and design experiments to close the gap—partnering with clinical experts to ensure improvements translate into better patient outcomes, not just better metrics.
Responsibilities
- Instrument and measure the performance of healthcare AI Employees in production.
- Identify areas where quality breaks down and diagnose root causes.
- Design and execute experiments to improve agent performance.
- Collaborate with clinical experts to ensure improvements lead to better patient outcomes.
Requirements
- Strong analytical judgment and proficiency in Python.
- Experience with agent lead development.
- Comfort operating with incomplete information.
- Genuine interest in the healthcare domain (clinical experience valued but not required).
Schedule
This is a part-time, paid internship or contract engagement with weekly syncs in our Bay Area office.