Lead AI Engineer

ClaroAI is hiring a Lead AI Engineer with full stack responsibility to build our Voice AI streaming-platform.

You will design and architect a large-scale, very low-latency system integrating our proprietary AI models and develop API interfaces that power seamless communication across our partners.

About the Role

You will work closely with our speech-AI researchers to bring proprietary company models and AI pipeline into production, ensuring optimal performance. Additionally, you will build and maintain a client-side application.

About ClaroAI

ClaroAI clarifies speech and corrects accent‑related mispronunciations, in real-time, helping everyone succeed in today’s globalized professional world.

No matter the platform, global calls are still hard because of pronunciation differences between people. ClaroAI Speech-to-Speech technology enabling everyone to communicate effectively and confidently in English.

Key Responsibilities

• Platform engineering: architect and build large-scale, low-latency infrastructure to support real-time streaming Voice AI

• AI Integration: work closely with the AI research team to deploy proprietary models into production environments

• Partner integrations: develop, scale, and maintain robust API interfaces, webhooks, and SDKs to support ClaroAI's partners

• Full-stack development: optimize both frontend user-facing application and backend microservices, ensuring system reliability and scalability

• Monitoring & optimization: Implement tracing and monitoring for end-to-end latency to deliver a seamless, high-quality user experience

Qualifications & Requirements

• Tech Stack: Triton Inference Server, highly familiar with web frameworks (e.g., React, Python, Go), cloud infrastructure (AWS/GCP), and containerization (Docker)

• Experience: proven track record (3-5+ years) in full-stack software development with a focus on scalable systems

• AI/Backend expertise: hands-on experience integrating ML models, or multi-model complex AI pipelines into production web applications

• Communication: excellent collaboration skills to work seamlessly across both technical team members and business-oriented distribution partners