Staff Backend Engineer

Inworld recently launched an exciting new platform for consumer AI applications, and we’re looking for an ambitious and capable Staff Backend Engineer to join us and take this platform even farther. The core of the new platform is the Inworld Runtime, announced in August and currently available as the npm package @inworld/runtime (and coming to more platforms!). The primary idiom is specifying AI computations as graphs, but there’s much more to it. API-based model services: In June, we announced our custom TTS models and API, which includes free instant voice cloning. Learn more and hear examples at inworld.ai/tts. Better yet, sign up yourself at platform.inworld.ai/, try out the premade voices, clone your own voice in just a few seconds, and let us know what you think! Beyond TTS, there is also LLM, Knowledge/RAG, STT, and more. Data ingestion: The Inworld Runtime generates telemetry data, which we ingest into our cloud Platform and make available for analysis in our web Portal. Ultimately, we aim to understand users and their context to power truly personalized and powerful AI experiences. Finally, services for control and optimization, such as the Dynamic A/B experiments that launched in August alongside the Inworld Runtime. We’re just getting started on these deeper capabilities. As a Staff Backend Engineer, you would be a significant part of one or more of these areas. The key challenges are: Shipping quickly. AI is evolving weekly, so there’s a ton of opportunity to be had. We want to move fast to capture those opportunities while they are still fresh and full of potential. Zero to one. The platform is not a simple copycat. We have a vision for a deep platform/suite of capabilities that make it dramatically simpler for developers to scale and evolve their AI. Realtime, online. As consumer applications become more capable of listening and talking, performance will matter, and AI has to adapt in realtime as well. These are bold but exciting challenges. Finally, almost everything here is a collaboration with our sibling ML teams, since ML and AI are critical to providing the learning and adaptability central to this vision. Please note: This is an IC-focused role. We are looking for someone who loves direct technical contribution alongside very capable peers.