Software Engineer, Agents

Our mission is to architect AI that learns from and interacts with the world like humans do.

We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.

We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.

Cartesia is hiring a Software Engineer, Agents to build the backend platform behind Line, our voice agents product. The Agents stack — a Go API with Python workers — is what customers rely on to run real-time, production-grade voice agents. You'll own backend work end-to-end and directly shape the latency, reliability, and developer experience of every agent built on Cartesia.

• Build and operate the distributed systems behind Cartesia's voice agents: load balancing servers, workers, and the realtime media pipelines that tie them together.

• Take projects from spec to production: design, build, ship, monitor, iterate.

• Make the architectural calls that compound over time — latency budgets, reliability targets, scaling primitives — and clearly articulate the tradeoffs.

• Define the developer experience for engineers building on Cartesia: APIs, observability, and applied evaluations.

• 3+ years building distributed backend systems in production, ideally at a high-growth startup. We care more about what you've shipped than strict YOE.

• Strong product instincts for platform work - you think in customer-facing latency, reliability, and developer experience, and you have opinions on what to build and why.

• Second-order thinking about backend architecture - you can explain why a design choice was made and what it trades off.

• Fluent, day-to-day use of AI coding tools, and a habit of keeping pace with the frontier.

• A strong communicator with both technical and non-technical audiences; comfortable writing clear specs and contributing actively in design reviews.

• Experience with Go and/or Python in a backend platform context.

• Realtime media systems in production (WebRTC, SIP, RTP, low-latency audio)

• Deep experience with cloud and infra primitives (Kubernetes, Docker, NATS, gRPC, OpenTelemetry and modern observability stacks).

• Distributed systems at scale dealing with non-trivial throughput, autoscaling, multi-region architectures.

• Voice agents or agent framework experience (Pipecat, LiveKit, OpenAI Agents SDK, Claude SDK, Vercel AI SDK).

🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore We love being in the office, hanging out together, and learning from each other every day.