Backend/AI Infrastructure Engineer - Up to $180K base + Equity/Benefits

Amicus has recently partnered with a rapidly growing AI start-up in the content creation space.

They are currently searching for a San Francisco-based backend/AI infrastructure engineer who will own the end-to-end delivery of AI-powered backend systems and APIs.

Responsibilities:

• Own end-to-end delivery of AI-powered backend systems and APIs.
• Build and optimize infrastructure for machine learning inference and training workloads.
• Design data pipelines that handle both real-time AI applications and batch processing.
• Collaborate closely with our AI team to turn research breakthroughs into production systems.

Requirements:

• 3+ years of production experience building complex backend systems.
• Strong proficiency in Golang.
• Proficiency in JavaScript/NestJS and Python is preferred.
• Solid understanding of building scalable, distributed systems that handle high-throughput AI workloads.
• Experience with data pipelines, ETL processes, and working with large datasets (structured and unstructured).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Based in the San Francisco Bay Area.
• US Citizen or Greencard Holder.

Compensation:

• $140K-$180K base salary.
• Equity allocation.
• Comprehensive benefits package.

To be considered for the position, please send your resume to harry.tyler@amicusjobs.com.