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

Curb

Curb

Accounting & Finance, Software Engineering, IT, Data Science
San Francisco, CA, USA
Posted on Mar 26, 2026
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.

Role Overview

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.

Key Responsibilities

Voice AI Development

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

User Experience & Interaction Design

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.

Model Optimization & Fine-Tuning

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

Real-Time AI Pipeline Engineering

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

Evaluation & Monitoring Frameworks

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

Workflow Automation

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

Cross-Functional Collaboration

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

Performance Measurement & Iteration

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

Required Qualifications

Software Engineering Experience

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

AI/ML & Audio Systems Expertise

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

Voice & Conversational AI

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

Machine Learning Frameworks

Proficiency in Python and experience with frameworks such as PyTorch, TensorFlow, or transformer-based architectures.

Real-Time Systems

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

LLMOps / MLOps Practices

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

System Integration

Experience integrating AI capabilities into enterprise applications or SaaS platforms.

Problem-Solving Skills

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

What Makes a Strong Candidate

Passion for building innovative voice and audio experiences that deliver real-world value.

Ability to work effectively in environments where product, engineering, and user experience intersect.

Strong curiosity about emerging AI technologies and how they can be applied to practical business challenges.

Comfort working in fast-paced environments where priorities evolve and new challenges emerge frequently.

Experience delivering systems that balance performance, scalability, and usability.

Compensation & Benefits

This position offers a competitive compensation package that includes a market-leading salary and equity participation.

Benefits for full-time employees may include comprehensive health coverage, retirement savings options with employer contributions, flexible paid time off, and parental leave programs.

This is an opportunity to help define how voice and AI technologies reshape enterprise workflows, enabling smarter, faster, and more human-centered financial operations.

About Andiamo

Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.

For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.

Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com