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# AI Engineer

- **Company:** Harrington Starr
- **Location:** Greater London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, DevOps, Python (Programming Language), Machine Learning, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Build Management, Information Technology, Production Code, Front End Software Development
- **Published:** August 26, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815186907-ai-engineer

## About the Role

* Commercial experience building AI applications with LLMs.
 * Strong Python engineering skills and experience shipping production code.
 * Experience with RAG, prompt engineering, model evaluation or fine-tuning.
 * Knowledge of modern front-end technologies is beneficial.
 * Strong understanding of machine learning fundamentals.
 * Degree in Computer Science, Mathematics or another quantitative discipline (or equivalent industry experience).
 * Experience with cloud platforms and modern engineering practices is a plus.

## Description

We're working with an organisation that's making a significant investment in AI, building intelligent products that are transforming the way people work. As part of a growing engineering team, you'll play a key role in designing and delivering production AI applications with real-world impact.

This is a hands-on opportunity for someone who enjoys taking ideas from concept through to deployment while working with the latest advancements in Generative AI.

The Role

 * Build and deploy production-grade AI applications using modern LLMs.
 * Design scalable AI solutions that solve complex business challenges.
 * Evaluate and improve model performance through experimentation and testing.
 * Work closely with users to iterate quickly and deliver high-quality products.
 * Keep up to date with the latest developments across the AI ecosystem.

What We're Looking For

 * Commercial experience building AI applications with LLMs.
 * Strong Python engineering skills and experience shipping production code.
 * Experience with RAG, prompt engineering, model evaluation or fine-tuning.
 * Knowledge of modern front-end technologies is beneficial.
 * Strong understanding of machine learning fundamentals.
 * Degree in Computer Science, Mathematics or another quantitative discipline (or equivalent industry experience).
 * Experience with cloud platforms and modern engineering practices is a plus.


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