Platform Engineer

Platform Engineer

Phonic is a product and research lab focused on powering the most realistic, human-like voice AI conversations. We've re-thought the entire stack in pursuit of this goal, from models to product, to create voice agents that feel like they truly understand you, respond emotionally and perform agentic tasks with frontier intelligence.

Our team includes top-tier AI researchers, international olympiad medalists, and former founders.

Our customers include companies that are building voice-native AI products in industries such as customer support, healthcare, logistics, and recruiting. We have raised over $30M from tier 1 VCs.

As a Platform Engineer at Phonic, you'll build the foundation that lets our engineering team move fast without breaking things. Real-time voice AI at our scale is unforgiving — latency is visible, reliability is everything, and our systems need to perform flawlessly across hundreds of thousands of mission-critical calls every day. You'll own the infrastructure, tooling, and deployment systems that make that possible, freeing our backend and research teams to focus on pushing the frontier.

Design and maintain the core infrastructure that powers Phonic's real-time voice AI platform - cloud infrastructure, deployment pipelines, and observability systems

Build internal tooling and abstractions that improve engineering velocity across the team

Own reliability and performance at scale - define SLOs, instrument monitoring, and lead incident response when things go wrong

Partner closely with backend engineers and researchers to translate cutting-edge AI capabilities into production-ready systems

Drive improvements to how we build, test, and ship software - reducing friction across the entire development lifecycle

Strong experience with cloud infrastructure - GCP, AWS, or Azure - and containerized deployments (Docker, Kubernetes)

Proficiency with infrastructure-as-code tooling (Terraform or equivalent)

A track record of improving reliability and developer experience in high-throughput, latency-sensitive systems

Ownership mindset: you don't wait to be asked and you see problems through to the end

Experience with real-time or streaming systems (WebSockets, WebRTC, or similar)

Familiarity with ML/AI infrastructure — model serving, GPU workloads, or inference optimization

Strong proficiency in TypeScript and Python

You are a former founder

Top-tier compensation: in order to get the best talent, we provide salary and equity that recognize your skillset

Meals: free breakfast, lunch, and dinner provided in the office

Healthcare: Comprehensive health, dental, and vision

We have regular off-sites and team celebrations