### **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.
Visa sponsorship is offered for this role.
