Voice AI Engineer

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.

Responsibilities

• 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.

• Details
• Location: Berlin, Germany · On-site
• Employment: Full-time
• Seniority: Mid-Senior Level
• Visa & work authorization: Full-time, on-site in Berlin. Relocation support offered; open to sponsoring visas for the right candidate.

About the company

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.

Ideal candidate

The ideal candidate is an engineer with a proven ‘I’ll figure it out’ mentality and a strong bias for action, evidenced by side projects, entrepreneurial ventures, or clear ownership of significant projects in past roles.

They must have strong engineering fundamentals and experience building or debugging reliable, scalable distributed systems.

Specific AI/voice experience is less critical than the ability to tackle novel, ambiguous technical problems with speed and ownership.

The culture is extremely fast‑paced, high‑trust, and ‘AI‑pilled’.

They ship to production on day one without code reviews.

Candidates must be energized by a high‑agency, ‘act, then fix’ environment and close collaboration, not intimidated by it.

They are looking for people obsessed with solving problems, not just building cool tech.

• 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 prefer a remote‑first environment.
• You want to be told exactly what to do.
• You mostly care about the tech, not business outcomes.
• You want to work 9-5.
• Interview process
• Screening call with recruiter.
• Live coding online challenge with reverse system design.
• Full‑day on‑site in Berlin (9:00–15:00) including system design, coding, product interview, and a 90‑min ‘top grading’ career deep dive.
• Reference calls with contacts provided during the on‑site interview.

Note: Strong candidates with excellent references may be able to skip directly to the on‑site stage.

Perks

• Very competitive pay + equity package (€85K–€160K)
• Access to any AI tools.
• Free dinners if you stay late.
• Urban Sports Club membership.
• Relocation support if you’re not already in Berlin.
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