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CyberCoders, Inc. is seeking a Senior Full-Stack AI Engineer to lead the design and deployment of AI in clinical workflows. You will own end-to-end systems, mentor engineers, and set rigorous standards for quality and reliability in a startup-paced environment.
You bring 5+ years shipping production AI systems, strong React and Python skills, and experience with LLMs in regulated healthcare. Onsite SF role with base salary and equity, visa and relocation support where applicable.
Job title: Senior Full-Stack AI Engineer
Location: Onsite in San Francisco (5 days)
Salary: $180-250k base + equity
Requirements: 5+ years of experience, React/Python, STARTUP environment, production LLMs
We're deploying AI into regulated healthcare environments where accuracy matters and failure isn't an option. Medical data is messy, workflows are high-stakes, and clinical oversight is non-negotiable. We're building intelligent systems that extract meaning from complex patient records and augment how clinicians work-built for rigor, auditable every step of the way. We need experienced builders who've shipped in startups and know how to move with both speed and precision.
You've built and shipped at startup velocity. You've navigated ambiguity, made architectural bets, owned outcomes. You know when to move fast and when to slow down for rigor. You've mentored engineers, shaped technical direction, and earned trust across technical and non-technical teams. You understand that startup success isn't just about speed-it's about making the right bets and executing with discipline.
We're hiring experienced operators who've thrived in high-growth, resource-constrained environments. You need 5+ years shipping production systems, with real startup experience in your background. You're not looking for process or permission-you see a problem and you solve it.
Backend: Python, FastAPI, PostgreSQL, data validation frameworks, workflow orchestration
Frontend: TypeScript, React, modern build tooling, component libraries
Infrastructure: AWS services, Terraform, containerization, GitHub Actions, monitoring/observability
AI/ML: Leading LLM providers in production