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Founding AI Engineer
Remote · London
Senior level
As an AI engineer at at Amble, you will own, improve and scale the AI systems that power our voice-first, AI-driven language learning experience. Your role will be pivotal in developing the infrastructure that enables real-time, multimodal AI interactions. Examples of recent AI engineering work we have shipped include: giving our core conversational LLM agentic abilities to autonomously generate images based on conversational context; implementing memory in our LLM system to make a more personalised language companion, and creating an agentic system to create a ‘Daily Article’ feature that draws from a user’s interests and the open web to create articles personalised to the user and adapted for language learning.
Your day-to-day will involve:
• Design and optimise systems that orchestrate multiple LLMs, voice AI components (TTS, STT), and visual AI to power real-time conversational language learning backed by voice interactions and visual support. This will involve handling streaming responses, profiling and optimising components of chained AI systems, memory management, and agentic workflows.
• Train or fine-tune, deploy and monitor small-scale AI models and LLMs that help create a better conversational experience. Examples of these we are working on or have scoped include: multilingual turn detection models, pronunciation correction models, and fine-tuned conversational LLMs that represent different personalities.
• Develop and scale WebRTC-powered voice interactions, leveraging and modifying open-source AI frameworks like Pipecat to fit our use cases.
• Ensure a smooth developer experience by writing and maintaining clean, well-documented code supported by sensible system design choices.
Why Amble
• The opportunity to rethink and reshape the future of language learning and human connection.
• Work in a closely kit in-person team. You will be a core member of the founding team and directly shape the future of the company.
• You will be faced with and solve hard problems across product and engineering along the way, many of which will require breaking new technical ground.
• We have backing of some of the best VCs in the world, including the early investors in Anthropic, Notion, Replit, Vimeo and Patreon.
Qualifications
• 5+ years of AI engineering experience, with strong expertise in Python. Deep experience with one or more model training and tuning frameworks (PyTorch, Tensorflow, HF etc.) is a must.
• Experience building and scaling LLM-powered applications, particularly those involving visual AI, agentic workflows, or voice-based AI interactions.
• Understanding of asynchronous processing and distributed task execution.
• Familiarity with cloud infrastructure and serverless deployments.
• Strong software engineering experience with the ability to pragmatically think through software design and architecture to ship rapidly while scaling to hundreds of thousands of users.
• You can ship at high velocity without compromising on quality and are comfortable figuring out how to build things you haven't built before.
• Experience working with WebRTC or real-time media streaming technologies is desirable.
Our stack
• 5+ years of AI engineering experience, with strong expertise in Python. Deep experience with one or more model training and tuning frameworks (PyTorch, Tensorflow, HF etc.) is a must.
• Experience building and scaling LLM-powered applications, particularly those involving visual AI, agentic workflows, or voice-based AI interactions.
• Understanding of asynchronous processing and distributed task execution.
• Familiarity with cloud infrastructure and serverless deployments.
• Strong software engineering experience with the ability to pragmatically think through software design and architecture to ship rapidly while scaling to hundreds of thousands of users.
• You can ship at high velocity without compromising on quality and are comfortable figuring out how to build things you haven't built before.
• Experience working with WebRTC or real-time media streaming technologies is desirable.