AI Engineer

• Implement AI tools and integrate LLMs into clients existing business systems.
• Develop bespoke applications and automate workflows for a variety of client projects.
• Deliver practical AI solutions, which may include AI-powered receptionists, tender process automation, bespoke training platforms, Microsoft Copilot implementations, and new AI-enabled products.
• Move between AI implementation, software development, and broader automation projects in response to client requirements.
• Take ownership of delivery and contribute to client projects from day one.
• Contribute to the development of new products and services.

Technologies:

• AI
• AWS
• Azure
• Copilot
• GCP
• Machine Learning
• Cloud

More:

We are a growing technology consultancy expanding our AI capability and helping businesses implement AI, automate processes, and develop bespoke software solutions. This is a hands-on engineering role focused on applying existing technologies to real business environments rather than building machine learning models or complex AI systems from scratch. Youll work across multiple industries and varied client projects, with opportunities to help shape new products and services as we grow. The salary is up to £70,000. The role is remote-first in the UK, with occasional travel to client sites across the country.

• Strong software engineering background, with experience building, integrating, and deploying applications.
• Hands-on commercial experience implementing AI technologies in business environments.
• Experience working in a technology consultancy, software consultancy, or MSP, delivering solutions for external clients.
• Experience integrating existing LLMs, APIs, and third-party platforms into software applications and business systems.
• Understanding of business process automation and workflow development.
• Microsoft Azure experience preferred; AWS and GCP experience will also be considered.
• Familiarity with AI tools such as Microsoft Copilot, Claude, and AI-assisted development technologies.
• Ability to understand client requirements and translate business problems into practical technical solutions.
• Commercial awareness, including understanding client goals, challenging requirements where appropriate, and identifying when a straightforward solution offers more value than a complex one.