AI Engineer

📋 Description

• Develop and maintain back-end AI-powered applications and services.
• Design, deploy secure, scalable AI solutions with architecture and DevSecOps.
• Build and integrate LLMs and multi-agent systems (Semantic Kernel, LangChain).
• Design front-end UIs for AI apps using React, Vue.js, or Angular.
• Apply MLOps for model deployment, monitoring and lifecycle management.
• Operate and improve AI solutions across lifecycle with documentation.

🎯 Requirements

• 4–6 years’ experience in the applications development lifecycle.
• Backend AI app development and LLM/multi-agent orchestration.
• Python and ML frameworks: TensorFlow, PyTorch.
• Cloud ML services: Azure ML or AWS SageMaker.
• Front-end dev with HTML, CSS, JS/TS and React/Vue/Angular.
• AI security, GDPR and EU AI Act compliance.

🎁 Benefits

• Quarterly profit share scheme.
• Strong career progression and mentorship programs.
• Flexible/remote working arrangements.
• Pension, private healthcare, life assurance and benefits.
• Employee wellbeing: gym discounts and wellness programs.
• 24 days holiday allowance plus public holidays.