Founding Backend Engineer for AI Infrastructure
Summary
Build and scale backend systems that power AI models for a seed-stage startup in San Francisco, focusing on scalable architecture and production-grade ML infrastructure using Python and cloud platforms.
Fluency Digital, Inc. is a seed-stage AI startup located in San Francisco, California, that is building specialized intelligence tools for various professions. The company is looking for an engineer who excels in solving ambiguous infrastructure problems, constructing backend systems that power AI models, and balancing experimentation with reliability.
The ideal candidate will have 3 to 7 years of experience in backend or machine learning engineering, be highly proficient in Python, and have extensive experience with AWS or GCP environments. A strong understanding of scalable architecture design and optimizing machine learning models in production is essential.