Voice AI Engineer

Every 10 minutes, 18 million conversations happen between businesses and consumers around the world. For decades, the consumer side of those conversations sucked: long queues, robotic menus, repeated explanations, and unhelpful advice. Most people today still can't simply say what their problem is in natural language when communicating with businesses.

AI changes that. For the first time, companies can have natural conversations with customers at massive scale. Every B2C company - from energy providers to telcos to insurers - will use AI agents to talk to their customers. The number of conversations businesses will handle is going to explode in the coming years.

We're solving the challenges that come with that shift. Leading B2C companies like Sky are already using our platform to deploy thousands of voice agents and deliver a genuinely new customer experience. Building a first voice agent is easy - getting it to drive real outcomes for customers and businesses is the hard part. We help companies build, deploy, and improve consumer-facing AI voice agents at scale. This will become one of the most important software categories of the next decade.

We are a small, AI-pilled team that likes to solve hard problems. In engineering, product, or GTM - we build, experiment, and move fast, while heavily leveraging the capabilities of AI models. We take real ownership, challenge ourselves, and keep a low-ego culture.

The role

This is a role for engineers who care about velocity and solving real customer problems. You won't just ship code - you'll own projects end-to-end, make core product and technical decisions, and shape the trajectory of the company.

As a Voice AI focused engineer you will:

Build reliable and scalable systems and own critical parts of the core infrastructure

Solve novel problems that come from working with Voice AI and scaling to millions of daily calls

Evaluate different models and ensure we push the limits of the technology for our customers

If you're an engineer who has worked with distributed systems and loves pushing AI models to their limits - this is for you.

What we look for

Velocity - everything you do, you do with speed

High Agency - "I'll figure it out" mentality

High Ownership - nobody has to tell you what to do; you just do things

First Principles Thinking - you don't take what people say at face value; you understand the underlying problem

AI-pilled - you heavily leverage AI in your work

Comfort with ambiguity - you can jump into novel, ambiguous problems, understand the root cause, and solve them

Team thinking - you optimise for the engineering org's output, not your own

This probably isn't for you if

You want to be told exactly what to do

You mostly care about the tech, not business outcomes

You want to work 9-5

Access to any AI tools

Urban Sports Club membership

Relocation support if you're not already in Berlin