Computer-using agents for healthcare operations. Backed by Y Combinator.
About the role
We’re seeking an LLM engineer with hands-on experience in architecting strong prompting for agents. This role isn’t as much of a customer-by-customer prompt tuning, but rather building scalable AI infrastructure for our computer agents through context, prompting, and adjacent backend engineering. If you thrive in a fast-paced, high-ownership environment, we want to hear from you.
What they're looking for
- Startup Experience: Strong preference for candidates with prior startup experience. Former founders are especially valued for their entrepreneurial mindset and problem-solving skills
- Prior Experience:
- Green Flag: Leading agent development at prev. high-impact startups/companies
- Educational Background: Ideally, candidates should have attended a college ranked in the top 50 in the United States
- Backend Skills: Strong background in JS/Typescript and Python (we also build voice agents!)
- Frontend Skills: Proficiency in Next.js
More about this role
Novoflow is building AI Employees for medical clinics. We see two industry-breaking problems: over 400 EHRs, 1000s of vendors, and millions of patients all lacking interoperability across healthcare, and a trail of operational inefficiency following it. We’re building the scalable, reliable, and safe AI infrastructure that solves this problem.
With multi-year contracts secured and strong investor backing from YC advisors and top investors, we’re scaling our engineering fast to meet skyrocketing demand.
- Impact: Be a key contributor to cutting-edge projects, transforming industries.
- Growth: Thrive in a dynamic, high-ownership environment alongside top-tier talent.
- Innovation: Work with advanced tools and push technological boundaries.
- Autonomy: Drive your own initiatives and influence the company’s technical direction.
We’re seeking an LLM engineer with hands-on experience in architecting strong prompting for agents. This role isn’t as much of a customer-by-customer prompt tuning, but rather building scalable AI infrastructure for our computer agents through context, prompting, and adjacent backend engineering. If you thrive in a fast-paced, high-ownership environment, we...
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