Alembic

Alembic

Senior Applied AI Engineer

San Francisco HQ · Senior

Sponsorship not specified$10k-$100kDetected 90 days ago
PythonDistributed SystemsBackend DevelopmentData EngineeringLLMsResearchLeadershipCommunicationMentoring

About the role

  • This is a hands-on role on a small team where your work ships to production quickly and directly shapes what our largest customers see.
  • You'll work across Python-heavy backend services, data systems, and the infrastructure layer that connects them to our GPU-resident compute.
  • A note on "Applied AI." Our work is causal, not generative AI.

Responsibilities

  • Own what you build - take responsibility for reliability, performance, and evolution of the services you stand up
  • Strong Python fundamentals and experience building and operating backend services
  • Alembic is an applied science company building GPU-resident distributed data systems that deliver 10-100x performance for Fortune 500 clients including NVIDIA and Delta.

Requirements

  • 5+ years of backend software engineering experience in production environments
  • Demonstrated ability to work across adjacent parts of a stack (data, infrastructure, APIs) rather than staying in a narrow lane
  • Track record of shipping in fast-moving, ambiguous environments
  • Experience designing and operating distributed systems
  • Comfort with performance-sensitive code and systems where latency and throughput matter

Nice to have

  • GPU or accelerator-adjacent engineering experience
  • Background in high-scale or high-performance computing environments
  • Experience partnering closely with applied science or research teams
  • Familiarity with causal inference or graph-based systems
  • Work on systems that are genuinely novel - GPU-resident infrastructure running real-time causal computation at a scale few companies are attempting
  • Small team, high ownership, short path from idea to production

Compensation

  • $10k-$100k

Company info

  • Build production backend services in Python - APIs, data services, and the glue between our compute layer and the products customers use
  • Work across the stack as needed - touch whatever part of the system the problem requires, from service code to data pipelines to integration layers

This listing is sourced directly from Alembic's careers page and normalized into a canonical job model.