5 months ago
San Francisco, CA, USAMid Level
Base Salary
$180k - $250k/yr
Responsibilities
- Build and operate distributed systems for voice agents, including load-balancing servers, workers, and real-time media pipelines.
- Take projects from specification through design, implementation, launch, monitoring, and iteration.
- Make architectural decisions around latency budgets, reliability targets, and scaling primitives.
- Define developer experience through APIs, observability, and applied evaluations.
- Write clear specifications and participate actively in design reviews.
Requirements
- At least 3 years of experience building distributed backend systems in production.
- Strong product judgment for platform work, focused on customer-facing latency, reliability, and developer experience.
- Ability to reason about backend architecture, design tradeoffs, and long-term technical decisions.
- Fluent day-to-day use of AI coding tools and interest in keeping pace with the field.
- Strong written and verbal communication skills with technical and non-technical audiences.
- Experience with Go and/or Python in a backend platform context is preferred.
- Production experience with real-time media systems such as WebRTC, SIP, RTP, or low-latency audio is preferred.
- Experience with cloud and infrastructure primitives such as Kubernetes, Docker, NATS, gRPC, and OpenTelemetry is preferred.
- Experience with distributed systems at scale, including throughput, autoscaling, and multi-region architectures, is preferred.
- Experience with voice agents or agent frameworks such as Pipecat, LiveKit, OpenAI Agents SDK, Claude SDK, or Vercel AI SDK is preferred.
Benefits
- In-person work in offices in San Francisco, London, and Bangalore.
- Visa sponsorship support is assessed case by case and is not guaranteed.
- Monthly commuter allowance.
- Flexible paid time off.
- Daily lunch, dinner, and snacks.
- Personal Yoshi provided.
Tech Stack
Categories
About Cartesia
Cartesia builds real-time audio AI models and APIs for developers creating interactive voice agents and applications. Its products include Sonic for low-latency speech recognition, text-to-speech, and speech-to-speech, and Ink as companion tooling for interactive agents. Founded in 2023, the company is privately held and offers its technology as an AI/API platform for software teams.