Rifa AI

19 Total Employees
Year Founded: 2023

Jobs at Rifa AI

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Recently posted jobs

2 Hours AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Software • Conversational AI • Automation
Own the end-to-end release train for voice and chat AI agents across enterprise clients. Plan release cycles, manage dependencies, enforce evaluation gates, coordinate staged rollouts, and oversee client onboarding and migrations. Track risks, maintain program communications, drive go-live readiness, and improve release processes. The role requires technical fluency, cross-functional program leadership, strong written communication, and reliable overlap with US business hours.
2 Hours AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Software • Conversational AI • Automation
Design and refine US English voices for AI agents handling regulated debt-collection calls. Responsibilities include shaping prosody and compliance delivery, editing voice configurations in a terminal and Git workflow, casting and directing voice actors, cleaning recordings, and developing evidence-based voice quality evaluations. The role requires strong American English judgment, speech recording and editing ability, comfort with TTS tools, and collaboration with enterprise clients.
2 Hours AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Software • Conversational AI • Automation
Audit AI agent call and chat transcripts against quality and compliance standards, identify regressions and edge cases, document actionable engineering issues, and participate in client QA and audit calls. Reconcile internal findings with client audits, explain performance data, and provide recurring quality insights to the Technical Program or Product Manager for release communications and client reviews.
2 Hours AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Software • Conversational AI • Automation
Own the platform powering AI voice agents, including runtime and orchestration, real-time voice infrastructure, enterprise security capabilities, evaluation and observability systems, and production reliability. Build Kubernetes and GitOps infrastructure, CI/CD, incident response, and self-service tooling. Integrate speech and LLM technologies while ensuring low latency, scalability, auditability, data isolation, and measurable agent improvement across regulated enterprise deployments.