Job Description
Job Description
Backend / ML Engineer
Full-time | On-site | San Francisco, CA
About the Role
We’re hiring 2–3 Backend / ML Engineers to build and scale the core machine learning engine powering intelligent automation for complex document and data workflows.
You’ll report directly to the founding leadership and work in person from the San Francisco office.
This is a high-impact opportunity to join at an early stage, take full ownership of major systems, and directly influence product direction and technical architecture.
What You’ll Do
- Lead development of the ML-powered document extraction engine leveraging LLMs and OCR.
- Architect backend systems optimized for scalability, reliability, and performance.
- Build and deploy new automation features that streamline operational workflows.
- Collaborate cross-functionally with leadership on product design and user experience.
- Establish engineering best practices and contribute to the long-term technical roadmap.
Who You Are
2–6 years of backend or ML engineering experience, ideally in high-ownership or startup environments.Strong backend development expertise in Python .Proven 0→1 builder , with a history of launching projects or systems from scratch.Comfortable working in-person 5 days / week in San Francisco .Willing to complete a short technical take-home as part of the interview process.Bonus Points For :
Experience with LLMs, OCR, or data extraction pipelines .Exposure to AI infrastructure , evaluation frameworks, or distributed systems.Why Join
High ownership : Drive end-to-end product and infrastructure decisions.Significant equity : 0.5%–1%, with potential to increase based on milestones.Growth opportunity : Build core systems and processes as the company scales.Perks : Top-tier healthcare, daily team lunches, and a fast-paced, collaborative environment.Work Environment
Location : On-site in San Francisco (5 days / week)Culture : Focused, high-performance environment built for fast iteration and executionCollaboration : Direct access to decision-makers, minimal bureaucracy, and a bias for actionTech Stack
Python , LLMs , Data Extraction , Next.js
Ready to take the next step?
Apply now or email Jenn at Recruiter@CareDynamicsFL.com to learn more.