Full-stack voice AI and CPaaS platform with global telephony infrastructure
Telnyx operates a converged platform spanning voice APIs, conversational AI, and eSIM connectivity—built on Kubernetes, Python, Go, and a dedicated ML stack (Ray, Kubeflow, MLflow). The company is actively replacing Kubernetes (likely optimizing away from it) while adopting containerization alternatives (Firecracker, Kata Containers, Knative) and AI frameworks (LangChain, LangGraph), signaling a shift toward lightweight inference and tighter latency control for voice workloads. Hiring is accelerating across engineering and sales, with concurrent regional expansion projects across APAC, LATAM, and Europe—typical of a growth-stage infrastructure platform scaling beyond North America.
Telnyx provides a full-stack platform combining programmable voice APIs, conversational AI infrastructure, and eSIM connectivity for developers and enterprises. The company operates its own global telephony backbone and dedicated inference hardware, enabling low-latency real-time voice experiences without reliance on third-party providers. Customers span customer support automation, outbound call operations, and embedded voice-AI use cases in fintech and healthtech verticals. Based in Austin, Texas, the company employs 201–500 people and is expanding hiring across 20+ countries, with active initiatives to establish sales and engineering presence in Australia, South America, and Europe.
Core: Python, Go, Kubernetes, PostgreSQL, Kafka, Redis. ML/inference: Ray, Kubeflow, MLflow, Weights & Biases. Telecom: Kamailio, SIP, VoLTE. Frontend: Next.js, Radix UI, shadcn/ui. Infrastructure: Docker, Terraform, Ansible.
Scaling voice and AI infrastructure for healthtech; regional sales expansion (APAC, LATAM, Europe); Kubernetes migration for database services; embedding real-time messaging into fintechs; developer API design.
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