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Dialpad is an AI platform for customer experience that builds AI agents to resolve customer problems in real time across voice and digital channels. The company's AI agents learn from human agents and improve with every interaction, helping organizations deliver better experiences and operational efficiencies. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile, with customers including Netflix, Motorola Solutions, and Randstad.
As a Senior AI Engineer focused on Speech Systems, you will serve as an embedded senior backend engineer on the Speech Team, owning the production systems that turn speech models and third-party capabilities into reliable, scalable experiences for Dialpad's AI voice agents. You will work at the intersection of speech, ML infrastructure, and product engineering.
Key responsibilities include:
• Productionization & Service Ownership: Own the path from speech model or third-party capability to production, building APIs, services, deployment workflows, and integration layers that enable the Speech Team to ship improvements safely and efficiently.
• Self-Hosted Inference & Scaling: Productionize and operate self-hosted speech models, optimizing serving architecture, resource utilization, concurrency, autoscaling, and cost to meet real-time voice agent demands.
• Third-Party APIs & Provider Resilience: Integrate and maintain third-party speech APIs behind durable abstractions, with clear failover, capacity planning, version management, and vendor-performance monitoring.
• Reliability, SLOs & Observability: Build monitoring, alerting, dashboards, health checks, and incident-response practices to meet uptime, latency, and quality SLAs for customer-facing speech systems.
• Release & Evaluation Infrastructure: Partner with Speech and MLOps engineers to enable shadow traffic, staged rollouts, model and artifact versioning, and rollback-safe releases.
This role reports to the Senior Manager, AI Speech and offers the opportunity to be based in Dialpad's Canada Hub locations. You will have broad technical influence and the opportunity to shape how Dialpad operates real-time speech systems at scale.
