About the role
We are looking for a backend-leaning full-stack engineer to build the systems behind our new voice-first AI assistant for dictation, meetings, and everyday work. The product has to feel instant and be dependable the first time, every time. It also handles some of the most sensitive things people say at work, so reliability, privacy, and security are part of the job from day one.
You will join a small team with a live product and a lot of open ground, with ownership from the services and AI pipelines through to the experience people see. You will help discover what works, turn experiments into reliable features, and use real user feedback to decide what we build next.
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Your responsibilities will include:
- Designing and operating the real-time backend behind our AI assistant: streaming speech-to-text, long-running meeting and notes workflows, and the services behind our web, desktop, and mobile apps.
- Building AI-powered features that people can rely on, including summaries, actions, and integrations with the tools people already use, such as calendars and meeting platforms.
- Developing evaluations and live quality monitoring so we know when the product gets better, or worse, for real users.
- Owning reliability in production, with strong observability, security, and data-handling practices, and taking part in the on-call rotation.
- Owning features end to end, shipping across the stack and into the frontend when needed, alongside product, design, and engineering.
Requirements
We care about evidence of exceptional engineering: products you have shipped, difficult problems you have solved, and systems you have owned.
- Strong backend engineering skills and experience operating production systems, with sound fundamentals in APIs, cloud infrastructure, storage, and asynchronous processing.
- Experience building reliable real-time systems, such as streaming, WebSockets, and background workers, and recovering from failures gracefully.
- Hands-on experience shipping LLM-powered features, with an understanding of prompts, tools, retrieval, and evaluations.
- Strong product sense and evidence of independent, end-to-end ownership, with the confidence to work across the stack when needed.
- Comfortable in a small, fast-moving team, with clear communication and good judgment about what to build next.
Bonus: Experience with speech or audio systems, calendar and meeting integrations, handling privacy-sensitive user data, or backends for mobile clients.
Location
This role is remote-first, so it can be executed globally, with the ability to operate in GMT-5 to GMT+8 timezones required. If you prefer, you can work from our offices in London, New York, and Warsaw.
