AI Engineer

About

An exciting opportunity has arisen for an AI Engineer to join an established organisation that is actively embedding AI-driven solutions into real-world business operations. This is a hands-on technical role, ideal for someone passionate about applied AI, workflow automation, and building scalable, production-ready solutions.

The Role

As an AI Engineer, you will be responsible for building end-to-end AI solutions that combine models, data, APIs, and automation platforms. You'll play a key role in taking AI from concept through to production, ensuring solutions are accurate, governed, and aligned with business priorities. This role offers exposure to modern AI tooling, cloud platforms, and enterprise-grade automation in a fast-evolving AI environment.

Key Responsibilities

• Evaluate and select appropriate AI models for different business use cases
• Design, test, and optimise prompts to ensure reliable, accurate, and safe AI outputs
• Build and maintain automated workflows using tools such as n8n or similar platforms
• Integrate AI solutions with internal and external systems via REST APIs and webhooks
• Deploy AI solutions into production and monitor ongoing performance
• Continuously refine solutions based on feedback, metrics, and operational data
• Ensure solutions meet data governance, security, and compliance standards
• Document workflows, integrations, and AI assets for technical and non-technical audiences
• Work collaboratively with stakeholders to gather requirements and communicate progress
• Identify and mitigate risks including bias, hallucinations, and output quality issues

Skills & Experience

Essential:

• Experience with workflow automation platforms (n8n, Make, Zapier, Node-RED, or similar)
• Hands-on experience with prompt engineering and optimisation
• Strong understanding of large language models in production scenarios
• Practical experience integrating systems using REST APIs and webhooks
• Experience working with structured and semi-structured data
• Strong analytical and problem-solving skills
• Ability to communicate complex technical concepts clearly to non-technical stakeholders

Desirable:

• Experience with Azure AI services (including Azure OpenAI or Cognitive Services)
• Cloud-based AI solution deployment (Azure preferred)
• SQL experience for querying and validating relational data
• Python or JavaScript experience for scripting and integrations
• Familiarity with CI/CD, MLOps, or AI monitoring practices