AI Engineer

AI Engineer focuses on build, and deploy real-world generative ai systems.

What the role involves

• Build, and deploy real-world Generative AI systems.
• They work with very well-known brands and generate multi‑million‑pound revenues!
• Build LLM-powered applications.
• Develop Python-based microservices.
• Build AI agents and workflows.
• Leading delivery on some engagements.

Skills and requirements

• At least 3 years enterprise experience.
• Proficiency in LLM integration into applications, deployment and product ionisation.
• Proficiency with python.
• Having built microservices.

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving

Additional role context

• Opportunities like these are very rare.
• Xcede have started working with the leading AI firm who help large organisations design.
• Wanting to grow their team from 150 engineers to 300, and also being around 10 engineers short across projects, they urgently need new capable engineers.