Cartesia
Software Engineer, Agents
About this role
Cartesia seeks a backend Software Engineer to build the distributed systems powering Line, their voice agents platform. You'll own the Go API and Python worker stack end-to-end, directly influencing latency, reliability, and the developer experience for production-grade voice agents.
What you'll do
- Build and operate distributed systems for voice agents including load balancing, worker management, and real-time media pipelines
- Take projects from design through production: architect, implement, deploy, monitor, and iterate
- Make architectural decisions on latency budgets, reliability targets, and scaling strategies with clear tradeoff analysis
- Define developer experience through APIs, observability tools, and evaluation frameworks
- Collaborate on spec writing and design reviews with technical and non-technical stakeholders
What they're looking for
- Distributed backend systems architecture and production experience
- Go and/or Python backend development
- Real-time media systems (WebRTC, SIP, RTP, low-latency audio)
- Cloud infrastructure and observability (Kubernetes, Docker, gRPC, OpenTelemetry)
- AI coding tools and staying current with AI frontier
- Strong communication and technical writing abilities
- Product thinking around platform work
Benefits
- Competitive base salary with equity package
- Fully covered medical, dental, and vision insurance for you and family
- Parental leave: 9 weeks paternity, 12 weeks maternity
- 401(k)
- Monthly commuter allowance
- Flexible PTO
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Cartesia
Cartesia builds multimodal AI models and voice AI platforms that power enterprise applications. The company is hiring for roles spanning customer support, enterprise deployments, inference infrastructure, internal developer tooling, and forward-deployed engineering to scale their AI solutions across production environments.
- Website
- cartesia.ai
Likely interview questions
- Walk us through a distributed backend system you've built from spec to production. How did you approach latency and reliability tradeoffs?
- Tell us about your experience with realtime media systems or low-latency audio pipelines. What were the biggest challenges?