Member of Technical Staff - Audio & Voice - Autonomous Finance AI Platform

Member of Technical Staff — Voice & Audio AI Systems Build intelligent voice experiences that transform how businesses operate.

A fast-growing financial technology platform is redefining how B2B organizations manage accounts receivable by replacing manual, time-intensive processes with intelligent, AI-driven workflows. Serving industries such as manufacturing, chemicals, and industrial operations, the platform enables finance teams to work more efficiently while improving customer interactions.

This role offers a unique opportunity to work at the intersection of artificial intelligence, real‑time systems, and enterprise software—developing voice‑driven solutions that directly impact how businesses communicate, automate, and scale financial operations.

As a Member of Technical Staff focused on Voice and Audio Systems, you will design and deliver advanced AI‑powered voice capabilities that enhance enterprise financial workflows. This includes building intelligent voice agents, enabling speech‑based automation, and integrating audio‑driven insights into production systems.

You will take cutting‑edge advancements in speech recognition, audio processing, and conversational AI and transform them into reliable, real‑time applications used in live business environments. This is a hands‑on engineering role for someone who enjoys solving complex problems and delivering tangible business impact through innovative technology.

Design and deploy production‑grade voice and audio features, including real‑time conversational agents and speech‑enabled workflows that integrate seamlessly into enterprise systems.

Create natural, responsive voice interactions using speech‑to‑text, text‑to‑speech, and conversational AI technologies. Focus on delivering intuitive and effective voice experiences tailored to business use cases.

Adapt and refine speech, audio, and multimodal AI models to improve accuracy, responsiveness, and reliability in real‑world scenarios.

Build scalable, low‑latency pipelines that support audio ingestion, streaming inference, orchestration, and monitoring, ensuring consistent performance in production environments.

Develop systems to measure and monitor AI performance, including accuracy, latency, drift, and business impact. Implement best practices for model evaluation and continuous improvement.

Design and implement voice‑driven automation solutions that streamline processes such as collections, reconciliation, and customer communication.

Work closely with product managers, designers, engineers, and stakeholders to translate business needs into effective AI‑powered solutions.

Define key success metrics and continuously refine systems based on real‑world usage data and feedback.

At least five years of experience in software development, including hands‑on work building and deploying production systems.

Minimum of two years of experience working with applied AI/ML, particularly in speech, audio, or conversational systems.

Experience building and deploying systems that leverage speech‑to‑text, text‑to‑speech, or conversational AI technologies.

Proficiency in Python and experience with frameworks such as PyTorch, Tensor Flow, or transformer‑based architectures.

Experience designing and implementing low‑latency systems that handle real‑time data processing and inference.

Understanding of model deployment, monitoring, evaluation, and experimentation practices, including A/B testing and performance tracking.

Experience integrating AI capabilities into enterprise applications or SaaS platforms.

Ability to translate complex business requirements into scalable, reliable technical solutions.

• Passion for…