Software Engineer Rime Ai
Job Location:
San Francisco, CA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Rime is a foundation modeling company that builds voice AI for enterprises running customer experiences at scale. Our models are purpose-built for high-volume conversational deployments engineered for the accuracy performance and deployment flexibility that production environments actually demand.
We started from a different premise than the rest of the field: build voice AI for human connection not slop. Before we trained a single model we built our own corpus: full-duplex studio-quality conversational speech of normal people recorded and annotated by linguists. Its why our models are unparalleled in naturalism and its why enterprises pick Rime when pilots need to make it to production.
Were hiring a generalist Software Engineer to work across Rimes stack platform APIs systems infrastructure and wherever the company needs to move next. Your exact focus will evolve by design: were building toward a next-generation architecture (gRPC-first heterogeneous model serving bidirectional streaming) and we need engineers who can operate across layers rather than stay confined to one. If you have strong fundamentals a bias for clean interfaces and the instinct to understand systems end-to-end this role is for you.
Platform APIs: authentication billing account management and the surface that keeps the business running.
Feature work across the stack supporting the rollout of the next generation of our tts and end-to-end speech models.
Integration and migration work as Rime evolves: token-based authentication new billing and metering providers.
Maintenance and hardening of the current TTS API stack and assisting in its evolution.
Realtime low-latency horizontally scalable streaming speech infrastructure.
5 years of IC engineering experience with strong backend fundamentals.
Experience with at least one low level language: C Rust Go.
Systems-level thinking: you understand whats happening at the network storage and runtime layers not just the application layer.
You build clean interfaces and design for loose coupling; you dont create systems only you can debug. Bias towards codification and reproducibility.
Comfortable moving through an unfamiliar codebase and shipping without extensive hand-holding.
Strong async written communication were global and the written word is how work gets done.
Experience integrating 3rd party APIs such as payments monitoring and CRMs.
Experience with gRPC or other bidirectional binary streaming protocols.
Experience with multilingual monorepos where you pick the best language out of merit more than personal experience.
Experience with cloud infrastructure.
Experience at a small startup where the scope of your role was broad and undefined.
Comfort working within ML systems
Work across a real stack with real production stakes not a feature team inside a large org.
Direct influence on engineering decisions at a formative company stage.
Small high-ownership team with no layers between you and the work.
Meaningful equity upside.
High ownership high standards low bureaucracy.
SF / Bay Area.
Are outliers
Cut through the hype to focus on the craft
Move fast with agency and freedom
Maintain a growth mindset finding joy in the struggle
Do the right things knowing that itll lead to making money
Required Experience:
IC
About Company
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