ClaroAI is hiring a Senior AI Engineer to build our Voice AI streaming-platform.

In ClaroAI we are developing deep AI technologies in the speech-to-speech domain to fundamentally change how the world communicates. We are building a high-throughput, very low-latency streaming platform powered by our proprietary AI models.

As we transition from our core technology breakthroughs to scaling enterprise pilots, we are looking for exceptional talent to join our fast-moving team and take full stack responsibility for shaping the future of voice AI.

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 report to the CTO and work closely with our AI researchers to bring our AI pipeline into production.

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 world-class streaming 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 (5+ years) in backend 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