Frontend Engineer, Audio AI Interfaces

Doist; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Unlimited PTO

Health, dental, and vision coverage

Meal provisions (DoorDash)

Job summary

David AI, based in San Francisco, seeks a Frontend Engineer to build intuitive interfaces that help researchers and customers make sense of audio data used to train models. You will work with researchers to iterate on data collection and visualization within real-time pipelines.

The role emphasizes shipping polished, production-grade interfaces, prototyping rapidly, and staying current with frontend frameworks. Come join a fast-moving team advancing audio AI infrastructure.

Qualifications

• 2+ years of frontend engineering experience.
• Strong frontend fundamentals with rapid prototypes and scalable interfaces.
• Proven track record delivering engineering solutions that add customer value.
• Experience in high-pace environments enabled by detail-oriented execution.
• Excited to learn AI/ML or audio concepts (not required).

Responsibilities

• Ship polished, intuitive UI features used by thousands daily.
• Build performant, responsive interfaces on top of data processing pipelines.
• Design interfaces that surface LLM and DSP-based solutions.
• Iterate rapidly with researchers and Operations to deploy new data interfaces.
• Stay up-to-date with cutting-edge frontend technologies across systems and UX.

Skills

Frontend engineering

Prototyping

User-focused design

High-paced environment

Delivery-oriented

Tools

Next.js

TypeScript

TailwindCSS

Node.js

tRPC

PostgreSQL

AWS

Job description

David AI, based in San Francisco, seeks a Frontend Engineer to build intuitive interfaces that help researchers and customers make sense of audio data used to train models. You will work with researchers to iterate on data collection and visualization within real-time pipelines.

The role emphasizes shipping polished, production-grade interfaces, prototyping rapidly, and staying current with frontend frameworks. Come join a fast-moving team advancing audio AI infrastructure.