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.
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