Senior Backend Engineer

About David AI

Data for audio AI

The role

### **About our Engineering team** At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world’s first audio data research company. We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models. ### **About this role** As a **Senior Backend Engineer** at David AI, you’ll work across product surfaces to design clean APIs, build scalable services, and keep our systems performant under the weight of terabytes of audio data. ### **In this role, you will** * **Design, build, and maintain production-grade backend services** that power everything from data collection to customer-facing insights.\ **Own the architecture and performance** of distributed systems that ingest, transform, and serve audio data at scale. * **Define and evolve internal APIs and service boundaries** to support a growing set of ML and product features. * **Build resilient, observable, and easy-to-debug systems** with strong performance characteristics.\ **Collaborate with product, operations, and ML teams** to rapidly iterate on new ideas and ship fast. ### **Your background looks like** * 3+ years backend development building scalable APIs and services. * Proficient with RESTful APIs, service interfaces, and database design (PostgreSQL, MySQL). * Strong understanding of distributed systems and service-oriented architecture. * Extensive cloud infrastructure and infrastructure-as-code experience. * Proficient in profiling, debugging, and optimizing backend systems. * Experience launching systems from ground up in high-growth environments (preferred). ### **Bonus points if you have** * Familiarity with event-driven architectures, async processing, or large-scale data pipelines. * 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 audio or video data. * Deployed ML models for inference in a production environment. ### **Some technologies we work with** * Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, [Trigger.dev](http://Trigger.dev), WebRTC, FFmpeg. ### **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.