Who We Are

Voice.ai is transforming how businesses interact with customers through intelligent voice agents that automate, engage, and scale conversations. Our platform delivers real-time, lifelike voice interactions tailored to each use case.

We’re trusted by millions of users and rapidly scaling across industries. Built on proprietary frontier voice models, Voice.ai delivers unmatched speed and realism.

Backed by top-tier investors like Mucker Capital and M13, we’re on track to handle 1 billion voice calls. We're redefining what’s possible with AI-powered communication. Join us to help shape the future of voice automation and build technology with global impact.

What We're Looking For

• Proficiency in Python, and experience with backend systems, backend frameworks (e.g., FastAPI, Flask, Django), REST/gRPC API design, and microservices architecture.

• Experience designing and maintaining scalable, low-latency backend systems for ML or voice applications.

• Strong knowledge of system design principles, asynchronous / event-driven architectures, queuing systems, and cloud infrastructure (AWS, GCP, Azure).

• Solid grasp of testing methodologies, monitoring practices, and deployment reliability (CI/CD, infrastructure as code).

• Team player with excellent communication skills and a product-oriented mindset.

Nice-to-Have (Preferred):

• Exposure to voice or LLM-enabled systems, including speech-to-text (STT), text-to-speech (TTS), voice-streaming protocols (e.g., WebRTC), or media services like LiveKit or Twilio

• Familiarity with LLM integrations or voice‑driven pipelines, especially ML service orchestration and inference flows

• Experience with containerization, Kubernetes, or infrastructure tools (Terraform, Pulumi).

• ML pipeline integration and collaboration with ML engineers for production deployment and observability.