Member of Technical Staff — Audio and Voice AI

What You’ll Do

• 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.
• Collaborate Cross-Functionally: partner with Product, Engineering, Design, and customers to translate business needs into effective, user-centered voice AI solutions.
• Measure & Communicate Impact: define success metrics and continuously improve AI systems based on real-world usage and customer feedback.

You Might Be a Fit If You…

• Have 5+ years of software engineering experience, with 2+ years focused on applied AI/ML, speech, or audio systems in production.
• Have built and shipped voice, audio, or conversational AI systems used by real customers.
• Have experience with speech-to-text, text-to-speech, audio processing, or multimodal models.
• Have integrated and fine-tuned LLMs for conversational or agent-based systems.
• Understand LLMOps / MLOps best practices, including deployment pipelines, monitoring, evaluation, and A/B testing.
• Are fluent in Python and experienced with PyTorch, TensorFlow, Transformers, or audio ML frameworks.
• Have built real-time or low-latency systems and understand the tradeoffs involved.
• Can translate business and UX requirements into robust, scalable AI solutions.
• Have experience integrating AI systems into existing enterprise or SaaS platforms.
• Enjoy working on ambiguous problems where product definition, UX, and engineering meet.

Compensation

Top-of-market salary and equity package

Benefits (for U.S.-based full-time employees)

• Medical, dental & vision insurance coverage for you
• 401(k) & Match
• Equity
• Flexible PTO
• Parental Leave