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# Full Stack Engineer

- **Company:** David AI
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $170,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Machine Learning, Rapid Prototyping Process, Signal Processing, Software Engineering, WebRTC, Large Language Models, Core Data, Machine Learning Operations
- **Published:** June 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d9c6a50e6c2603e7

## About the Role

Do you have experience in WebRTC?, * 2+ years of full-stack engineering experience.

 * Strong full-stack web development fundamentals with experience in creating rapid prototypes, as well as building solutions that scaled to many users.
 * A proven track record of delivering engineering solutions that contributed value to customers.
 * Experience working in a high-pace environment that constant progress was enabled by detail-oriented execution.
 * Emphasis on building intuitive products and experiences that resonates with users and has built highly polished production-grade products.
 * AI/ML or audio experience is not required but you should be excited to learn., * Educational or professional experience with digital signal processing and a deep understanding of speech.
 * Experience building and deploying ML models in a production environment.
 * Led (managed or tech-led) engineering teams in high-growth environments.

## Description

As a Full Stack Engineer at David AI, you'll build cutting-edge tools that help our users make sense of the audio data they'll use to train their models, working closely with researchers to consistently iterate on how to best collect our data., * Ship full-stack features that thousands of users will interact with daily.

 * Build scalable systems to create core data processing pipelines that derive actionable insights from terabytes of audio data every day.
 * Build, deploy, and evaluate LLM and DSP based solutions to increase our customers' understanding of nuanced features across our datasets.
 * Iterate rapidly on our research hypotheses by working closely with researchers and our Operations team to deploy interfaces to collect new data.
 * Stay up-to-date with cutting edge technologies and frameworks to apply to our current product offering across software engineering, data engineering, machine learning, and signal processing.


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