Stuut

Member of Technical Staff — Audio and Voice AI

San Francisco · Staff+ · Full-time

Sponsorship not specifiedDetected 3 days ago

PythonMachine LearningTensorFlowPyTorchNLPLLMsLLMOpsMLOpsResearchAccounts Payable

About the role

Your work will directly shape how finance teams and their customers interact with Stuut through voice.
This is a hands-on role for an engineer who thrives at the intersection of audio AI, real-time systems, and practical business impact-turning cutting-edge models into trusted, delightful voice experiences for enterprise finance workflows.

Build & Deploy Voice AI Systems: design and ship production-ready audio and voice-based AI features, including real-time voice agents and speech-driven workflows.
Craft High-Quality Voice UX: use modern speech-to-text, text-to-speech, and conversational AI platforms to create natural, responsive, and emotionally aware voice experiences tailored to financial use cases.
Adapt & Fine-Tune Audio and Multimodal Models: fine-tune and optimize speech, audio, and LLM-based models for accuracy, latency, and reliability in real-world environments.
Engineer Real-Time, Scalable AI Pipelines: build end-to-end AI/ML pipelines spanning audio ingestion, streaming inference, orchestration, and monitoring with enterprise-grade availability and performance.
Establish Evaluation & Monitoring Frameworks (LLMOps): design rigorous evaluation systems to measure quality, latency, accuracy, drift, and business outcomes for voice and text-based AI systems.
Automate Financial Workflows via Voice: develop AI-powered voice automations that reduce manual effort in collections, reconciliation, and customer communication.

Have 5+ years of software engineering experience, with 2+ years focused on applied AI/ML, speech, or audio systems in production.
Have experience with speech-to-text, text-to-speech, audio processing, or multimodal models.
Have experience integrating AI systems into existing enterprise or SaaS platforms.

From intelligent voice agents that interact with customers to audio-driven workflow automation and speech-based data extraction, you'll create scalable, reliable AI systems that integrate seamlessly into Stuut's platform.
Collaborate Cross-Functionally: partner with Product, Engineering, Design, and customers to translate business needs into effective, user-centered voice AI solutions.
Have built and shipped voice, audio, or conversational AI systems used by real customers.

This listing is sourced directly from Stuut's careers page and normalized into a canonical job model.