You will lead the technical vision for a platform enabling real-time, cross-lingual communication. As a founding engineer, you will architect low-latency speech and translation models, sitting on the leadership committee to shape long-term strategy. This is a high-stakes role focused on solving unsolved problems in live audio processing and model inference at scale.
Founding AI Engineer at well-funded AI communication startup
Imagine two people with no shared language talking as easily as old friends. We are looking for a Founding AI Engineer to join a well-funded London startup building real-time speech translation for live conversations. You'll sit on the leadership committee, owning the model architecture and AI direction from day one. If you have a background in top research labs and love solving hard problems like low-latency inference, this is your chance to build something that’s never been done before.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Well-funded AI communication startup
What you will do
- Design and implement the core AI architecture, moving beyond fine-tuning to build proprietary models for speech and translation.
- Own the long-term technical roadmap for low-latency inference and real-time processing at scale.
- Make high-leverage technical decisions that define the product’s foundational intelligence and learning capabilities.
Who this is a fit for
- Proven track record of building and shipping AI models from scratch, with deep understanding of underlying architectures.
- Experience tackling high-difficulty problems such as real-time audio, speech recognition, or low-latency translation systems.
- Background in top-tier research labs or high-growth, early-stage AI teams with exceptionally high engineering standards.
Why this role is remarkable
- Founding-level ownership with a seat on the senior leadership committee alongside the CEO and Head of Engineering.
- Backed by top-tier VCs and tech pioneers who built some of the world’s most ubiquitous technology.
- Solve complex, unsolved technical challenges in real-time speech processing that have a direct global impact on human connection.
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