← Zurück zur Liste
Stelle

Software Engineer

Backend Developer • Remote • Vollzeit • 📍 United States

Rime builds voice AI for enterprises running high-volume customer experiences, and is hiring a generalist Software Engineer to work across platform APIs, systems, and infrastructure.

Stack

Responsibilities

  • Build platform APIs: authentication, billing, account management
  • Ship feature work across the stack, supporting the rollout of next-generation TTS and end-to-end speech models
  • Handle integration and migration work: token-based authentication, new billing and metering providers
  • Maintain and harden the current TTS API stack
  • Build realtime, low-latency, horizontally scalable streaming speech infrastructure

Requirements

  • 5+ years of IC engineering experience with strong backend fundamentals
  • Experience with at least one low-level language: C++, Rust, or Go
  • Systems-level thinking across network, storage, and runtime layers, not just the application layer
  • Ability to build clean interfaces and design for loose coupling
  • Bias toward codification and reproducibility
  • Comfort shipping in an unfamiliar codebase without extensive hand-holding
  • Strong async written communication for a globally distributed team

Nice to have

  • Experience integrating third-party APIs: payments, monitoring, CRMs
  • Experience with gRPC or other bidirectional binary streaming protocols
  • Experience in multilingual monorepos, choosing languages on merit
  • Cloud infrastructure experience
  • Experience at a small startup with a broad, undefined role
  • Comfort working within ML systems

Soft skills

Ownership and accountabilityOpenness to unfamiliar problemsGrowth mindsetStrong async communication

What we offer

  • Work on a real production stack with real stakes
  • Direct influence on engineering decisions at a formative stage
  • Small, high-ownership team with no layers between you and the work
  • Meaningful equity upside
  • SF / Bay Area location

About the company

Rime builds voice AI for enterprises running high-volume customer experiences. It built its own full-duplex, studio-quality conversational speech corpus, annotated by linguists, giving its models unmatched naturalism.

Ähnliche Stellen