Our client is a high‑growth AI startup in the life sciences space that’s already working with some of the world’s largest pharmaceutical organizations. This is a rare opportunity to join a tiny, elite engineering team building production‑grade AI systems that directly impact how critical drugs get to market faster.
The Opportunity
You’ll be a core backend engineer owning and scaling real-world systems, not internal tools or experiments. The platform you build will be used by tens of thousands of users inside highly regulated, global enterprises.
What You’ll Be Working On
- Designing and scaling backend systems in production
- Building APIs from scratch using modern Python frameworks (FastAPI, Django, etc.)
- Implementing GenAI workflows (RAG, prompt engineering, evaluation frameworks)
- Deploying and scaling containerized services in the cloud (AWS preferred)
- Collaborating closely with product, medical, and customer-facing teams
What We’re Looking For (Non‑Negotiable)
- 3+ years of backend engineering experience while physically working in the US
(Remote work for a US company while abroad does not qualify) - Strong Python backend experience
- Hands‑on experience building GenAI applications
- Experience with cloud infrastructure, containers, and CI/CD
- Comfortable working in a fast‑paced, high‑ownership startup environment
- Open to hybrid, in‑office work in San Francisco (4–5 days/week)
- Open to immediate relocation if not already local
Nice to Have
- Experience in regulated industries (life sciences, fintech, compliance)
- Infrastructure‑as‑Code (Terraform or Pulumi)
- Some frontend exposure (React)
What Makes This Role Different
- Real AI systems in production, not research or POCs
- Direct ownership and visibility into customer impact
- Early‑stage team with massive enterprise reach
- Fast growth, high standards, and meaningful responsibility from day one
If you’re excited by ownership, speed, and building AI systems that actually matter, this is one worth exploring!