Voice AI ML Engineer Equity at AethexAI Inc
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-07-27
Listing for:
Jack & Jill
Full Time
position Listed on 2026-07-27
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Cloud Engineer - Software
Job Description & How to Apply Below
Location: Greater London
Job Title
Voice AI ML Engineer
Salary£80k-£100k + Equity
Company DescriptionAethexAI Inc is a London-based pre-seed startup that has raised ~$3M to build proprietary voice AI infrastructure for underserved global markets and languages that big tech overlooks.
Job DescriptionJoin AethexAI Inc to build foundational speech technology for billions of users in emerging markets. You will own the entire ML lifecycle, from researching novel architectures to deploying low-latency models on AWS. This is a hands-on, founding-level role for a scrappy builder ready to define the future of global voice communication.
LocationLondon, UK
Why this role is remarkable- Build foundational speech models from scratch for languages and accents that big tech overlooks, impacting billions of users in Africa, the Middle East, and beyond.
- Join a high-growth, ~$3M pre-seed team in London already processing 17,000+ daily calls with sub-500ms latency on proprietary, non-fine-tuned infrastructure.
- Secure meaningful founding-team equity and take complete ownership of the full ML stack, mirroring the trajectory of early engineers at companies like Eleven Labs.
- Research and develop novel speech model architectures, moving beyond simple fine-tuning to build proprietary ASR and TTS solutions for underserved markets.
- Design and manage high-scale inference pipelines on Kubernetes and AWS, ensuring mission-critical reliability and sub-500ms latency for global voice applications.
- Work directly with the founding team to ship new features into production weekly, impacting real-world users immediately after model training.
- Has 4+ years of experience shipping production-grade ML models, with specific depth in speech, audio, or low-latency inference systems.
- Possesses strong MLOps skills, including hands-on experience deploying to Kubernetes on AWS and maintaining high-availability production environments.
- Holds an advanced degree from a top CS/ML program and thrives in a scrappy, in-person London environment where they own technical outcomes end-to-end.
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