We’re hiring founding engineers to help build the infrastructure behind the next generation of B2B software. This is a high-ownership role: you’ll work directly with the founders to shape the product, the company, and the way healthcare and staffing operations are run.
You’ll be among the first employees at an early-stage startup, which means challenge, uncertainty, and opportunity. This role isn’t for everyone — to be a good fit, you need to be hungry to move build, break and push boundaries.
What you’ll do
- Ship fast, talk to customers, and build at the frontier of AI-native software.
- Work across the stack — from re-architecting ML forecasting systems to delivering elegant user-facing features.
- Build the platform infrastructure that allows AI to generate customer-specific apps, reports, and workflows.
- Help define engineering culture and grow the team.
What kind of person we’re looking for
- You must have already graduated or be graduating by December 2025.
- High-energy, opinionated, and fun to work with.
- Strong product taste.
- You’ve built real products for real customers, not just internal tools or integrations.
- You move quickly but maintain a high bar for quality — and expect the same from those around you.
- You want to help build not just a product, but a company and a category-defining business.
- Visa required but open to O-1 visa sponsorship for exceptional candidates (e.g., top-20 university, publications, or press). If applicable, please mention how you meet these O-1 criteria in your application.
Tech stack
- LLMs: OpenAI, Anthropic
- ML: LightGBM, Prophet
- Backend: Python, Postgres
- Frontend: React, TypeScript
- Infrastructure: AWS
🚀 Y Combinator Company Info
Y Combinator Batch: S24
Team Size: 3 employees
Industry: Healthcare -> Healthcare IT
Company Description: AI workforce management for healthcare
💰 Compensation
Salary Range: $130,000 - $200,000
Equity Range: 0.3% - 1.75%
📋 Job Details
Job Type: Full-time
Experience Level: Any (new grads ok)
Engineering Type: Full stack
🎯 Interview Process
1. Interview screen (20 mins)
2. Technical Interview (45min)
3. Take-home technical assignment
4. On-site working session with the team in San Francisco (1 day)