AI Product Engineer

AI Product Engineer

Location: North America – Remote, with preference for Austin or San Francisco

Salary: $140,000–$180,000 base + equity

Type: Full-time

We're partnering with a high-growth AI technology company building the trust and reliability infrastructure behind production voice agents. The business operates at the infrastructure layer of the rapidly growing voice AI market, helping engineering teams test, secure and monitor AI agents before and after deployment. Its platform has already analyzed more than 10 million production calls and tested over 10,000 voice agents, with customers across financial services, healthcare and telecom.

The opportunity

You'll work directly with enterprise customers to understand technical problems, translate their needs into product features and ship the solution yourself. This is a highly hands-on product engineering role where you'll own features end-to-end across discovery, prototyping, development and production. You'll work across frontend and backend systems while staying closely involved with the customers using what you build.

What you'll be doing

Working directly with technical enterprise customers to understand product requirements

Turning ambiguous customer problems into clear, shippable features

Owning product features from discovery through production and iteration

Building across frontend, backend, APIs, integrations and AI workflows

Supporting customer implementations, POCs and technical adoption

Turning one-off customer needs into reusable platform capabilities

Writing production code across TypeScript and Python

Using AI coding tools such as Claude, Codex and Cursor throughout your development workflow

What we're looking for

0–3 years of professional software or product engineering experience

Degree from one of the following universities: Stanford University, Harvard University, University of California, Berkeley, Massachusetts Institute of Technology, Indian Institutes of Technology (all campuses), University of Pennsylvania, University of Waterloo, Columbia University, Carnegie Mellon University, Cornell University, University of Cambridge, University of Oxford, Yale University, University of Michigan–Ann Arbor, Northeastern University, Georgia Institute of Technology, University of Illinois Urbana-Champaign, or Technical University of Munich

Strong TypeScript and Python skills

Strong full-stack engineering fundamentals

Ability to build and ship complete product features

Experience using AI coding tools as part of your daily development workflow

Strong product and design instincts

Comfortable working directly with technical customers

Ability to work through ambiguity and move quickly without detailed specifications

High level of ownership and strong communication skills

Degree from one of the company's designated target universities

Experience with voice AI, realtime systems, LLM evaluations, observability or agent workflows would be beneficial but isn't essential.

Experience with technologies such as React, Next.js, LiveKit, WebSockets, Pipecat, Vapi, Retell AI or ElevenLabs are nice to haves.

Why join?

Build infrastructure for one of the fastest-growing areas in AI

Join a business with 10M+ production calls analyzed and 10K+ agents tested

Work directly with major enterprise customers across regulated industries

Own features end-to-end from customer problem through production

Join a small, high-performance engineering culture shipping multiple times per day

$140k–$180k base salary plus competitive equity

Remote-first with approximately 10–20% travel

Join at a stage with real customers, production usage and revenue while still having significant influence over the product

Candidates must be based within North American time zones. Austin or San Francisco are preferred.