AI Engineer

Harrington Starr; Greater London; Híbrido; GBP 60.000 - 90.000; Jornada completa

Descripción de la vacante

Harrington Starr partners with a leading AI-focused organisation in London to design and deliver production AI applications using cutting-edge LLMs.

You will work end-to-end from concept to deployment, collaborating with users and the engineering team to ship robust, scalable solutions.

Candidates should have strong Python skills, experience with LLMs, RAG, prompt engineering and model evaluation, plus a solid ML foundation.

Formación

• Commercial experience building AI applications with LLMs.

Responsabilidades

• Build and deploy production-grade AI applications using modern LLMs.

Conocimientos

LLM applications

Python programming

RAG

Prompt engineering

Model evaluation

Fine-tuning

ML fundamentals

Cloud platforms

Engineering best practices

Educación

Bachelor's in Computer Science or Mathematics or equivalent

Descripción del empleo

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.