Engineering, Voice AI

Job description

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 https://principles.telli.com/ to see how we work. about the role This is role 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. 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 are engineer who has worked with distributed systems and loves pushing AI models to the limits - this is for you! what we look for we believe that today, engineers need to not just know how to ship code, but also ensure we work on the right problems. These are the core skills we look for in the interview processes: - 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 make sure you understand the underlying problem - AI-pilled - You are heavily leveraging AI in your work - Strive in ambiguity - You are able to jump into novel ambiguous problem, understand the reason and solve it - Team thinking - You optimize for the eng org output, not personal what may not make you a good fit - 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 perks - very competitive pay + equity package - access to any (AI) tools - free dinners if you stay late - urban sports - relocation support if you don’t live in Berlin