About David AI

David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models.

Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. To unlock the full potential of AI, models need more—and better—audio data. That’s where David AI comes in.

David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers, and raised $5M from First Round Capital, Y Combinator, SV Angel, and more.

Our team is sharp, humble, ambitious, and tight-knit–we love spending time together. We’re looking for the best research, engineering, product and operations minds to join us on our mission to revolutionize audio AI.

Role and responsibilities

As a Senior Backend Software Engineer at David AI you'll build and scale rock-solid backend systems that just work- fast, reliable and ready for anything we throw at them. You will:

• Scope, design, develop, and maintain scalable backend services that support our applications.

• Optimize system performance, reliability, and scalability through effective architecture and engineering best practices.

• Ensure high availability, fault tolerance, and performance of backend systems.

• Instrument high-quality deployment practices to ensure fast, standardized, and reliable releases that keep our business moving quickly.

Who we’re looking for

• 5+ years of experience in backend development ranging from microservices development, API design, and building scalable infrastructure.

• Experience with database technologies such as PostgreSQL, MySQL, or NoSQL solutions.

• Understanding of distributed systems, microservices architecture, and cloud platforms (AWS, GCP, or Azure).

• Hands-on experience with Docker, Kubernetes, and similar tools.

• Strong problem-solving skills and the ability to optimize system performance and reliability.

• Experience with Infrastructure as Code (IaC) tools like Terraform, Pulumi, or similar.

Bonus points if you have

• Familiarity with CI/CD pipelines and DevOps best practices.

• Built scalable data pipelines that have facilitated large-scale event-driven workflows across large volumes of data.

• Deployed ML models for inference in a production environment.

Compensation and benefits

• Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry.

• Competitive salary and equity package.

• Flexible PTO policy.

• Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans.

• Paid lunch and dinner in the office, every day through DoorDash.

• 401k access.