Senior Full-Stack Engineer AI

Job Description

We’re building the future of AI-driven voice technology, and we need a Senior Full-Stack Engineer to architect and ship high-impact features that directly shape our product and revenue. You’ll work at the intersection of cutting-edge AI, scalable infrastructure, and customer-facing applications—owning projects from 0 1 prototyping to 1 n scaling.

This is a high-leverage role where you’ll collaborate with top AI researchers, optimize large-scale audio data pipelines, and deploy real-time ML models that redefine how users interact with voice technology. If you thrive in fast-moving, early-stage environments and want to build foundational AI infrastructure, we’d love to hear from you.What You’ll Do

Build end-to-end, full-stack features that directly impact customers and revenue.

Solve high-stakes audio AI challenges, from scalable data pipelines to real-time ML model deployment.

Drive technical decisions at the frontier of AI, working alongside world-class researchers.

Own and architect solutions from 0 1 prototyping to 1 n scaling, shaping our core product and infrastructure.Technical Challenges You’ll Tackle

Architect and ship customer-facing full-stack features that enable rapid iteration.

Design scalable engineering solutions for processing and analyzing terabytes of audio data.

Optimize data pipelines for large-scale audio dataset generation and quality control.

Develop and deploy audio-focused ML/LLM models, from research to production.Who You Are

2-6 years as a senior full-stack engineer with startup experience (1-2 years at an early-stage or high-growth startup).

Proven track record of shipping end-to-end features that drive revenue and user impact.

Technical skills:

Frontend: Next.js, TypeScript, TailwindCSS

Backend: Node.js, tRPC, PostgreSQL

Experience (or strong interest) in audio AI, signal processing, or ML deployment

Leadership presence—able to mentor junior engineers and drive technical discussions.

Exceptional at breaking down complex problems and communicating system designs.Ideal Background

CS degree from a top 25 university (or equivalent experience).

Startup-minded—you thrive in ambiguity and move fast.

Passion for voice technology, AI, and building from the ground up.Why Join?

Work on bleeding-edge AI with a world-class team.

Build foundational infrastructure for a category-defining product.

Competitive compensation, equity, and the chance to shape the future of voice tech.

Full-time