Engineering, Voice AI

About the role

about us

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 advice that is often unhelpful. Most people today still cannot 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.

At telli, we are solving the challenges that come with that shift. Today, leading B2C companies like Sky are already using telli to deploy thousands of voice agents to provide their customers with a new experience. But building a first voice agent is easy, getting it to drive real outcomes for customers and businesses is the hard part. telli helps 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, and we intend to win it.

We are a small, AI-pilled team that likes to solve hard problems. Be it engineering, product, or GTM - we build, experiment, and move fast, while heavily leveraging the capabilities of AI models. All of us like to challenge ourselves and take real ownership over what we do, all while still staying humble and keeping a low-ego culture.

Check out our principles to see how we work.

about the role

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

Our philosophy is to push the frontier models to the limits of what is possible - and to achieve that, we need your help.

We are a small team working across:

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harness engineering

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applied AI products

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realtime audio

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distributed systems

what you will work on

Voice AI

Voice AI is one of the hardest technical challenges we have right now. We need to ensure that the voice AI we deliver is fast, reliable, and high-quality.

Topics that we are currently working on:

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No-infra RAG using SQLite artifacts downloaded for each call.

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Racing LLMs to use the fastest one at any given moment.

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Shadow-test new transcribers on real calls before switching production traffic.

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Make Voice agents respond faster without reducing quality.

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Make every bad call easy to understand and debug.