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Senior AI Engineer (Remote)

Oho Group | United Kingdom | Today
£60,000 – £90,000/yr| full-time | remote | senior
skills: prompt engineering, rag pipelines, mlops, pipeline engineering, document processing, multi-agent orchestration, chain prompting, evaluation frameworks, prompt tracing, feedback loops, audio ml, transcription ml, speaker diarization, topic detection, transcript mapping, semantic search, vector databases

Senior AI Engineer – Fully Remote

We’re partnering with an early-stage startup building at the forefront of applied AI, now looking for their first dedicated AI / Data Science hire. This is a high-impact, hands-on role where you’ll own and build the entire AI layer of the product from the ground up.

You’ll work directly with the CEO alongside a small, high-calibre engineering team, shaping both the technical direction and long-term AI strategy.

🚀 The Role

This isn’t a plug-and-play position. You’ll be stepping into a greenfield environment where much of the AI and data science infrastructure still needs to be defined, rebuilt, and scaled.

From RAG pipelines to evaluation frameworks, you’ll take full ownership of how AI is designed, deployed, and improved across the product.

🧠 What You’ll Be Doing

  • Owning and building the AI / data science layer end-to-end
  • Designing and implementing RAG pipelines and document processing systems
  • Developing robust evaluation frameworks, prompt tracing, and versioning systems
  • Building and maintaining MLOps pipelines to support scalable deployment
  • Working closely with the CEO to translate product vision into AI capabilities
  • Collaborating with a small engineering team to integrate AI into core product workflows
  • Establishing feedback loops to continuously improve model performance

🛠️ Must-Have Experience

  • Strong experience with prompt engineering and context optimisation
  • Hands-on experience with multi-agent orchestration and chain prompting
  • Solid background in MLOps and pipeline engineering (eval frameworks, tracing, versioning, feedback loops)
  • Experience building RAG pipelines and document processing systems
  • Proven ability to work in early-stage, ambiguous environments and take full ownership

⭐ Nice-to-Have

  • Experience with audio / transcription ML systems
  • Knowledge of speaker diarization and topic detection
  • Experience with transcript mapping and structuring unstructured data
  • Familiarity with vector databases and semantic search systems

🌍 Why Join?

  • Founding-level role – own the entire AI function from day one
  • Direct exposure to the CEO – real influence over product and strategy
  • Greenfield build – no legacy constraints, full autonomy
  • Fully remote – work from anywhere
  • High-impact environment – your work directly shapes the company’s success

If you’re looking for a role where you can take full ownership, build from scratch, and define the AI direction of a company, this is exactly that.

Benefits

fully remote · high-impact environment
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