Artificial Intelligence Engineer

Amtis - Digital, Technology, Transformation
West Midlands
4 days ago
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Amtis is proud to be hiring for a AI Engineer to join a growing technology team focused on building and deploying AI-powered applications into a live production environment.

This is a hands-on engineering role where you’ll be working across the full development lifecycle, from designing APIs and integrating AI models through to deploying scalable applications in the cloud.

You’ll be joining a team investing heavily in AI, with a clear focus on delivering real-world tools that are actively used across the business.

The Role

You’ll be responsible for designing, building, and maintaining AI-driven applications using modern Python frameworks and leading LLM technologies.

This role will involve:

  • Developing AI-powered applications using Python
  • Building and maintaining RESTful APIs (FastAPI)
  • Integrating Large Language Models (OpenAI, Claude or similar)
  • Designing robust data layers using SQLAlchemy
  • Implementing caching and performance optimisation (Redis)
  • Building dashboards or internal tools for end users
  • Deploying and managing applications within Azure
  • Ensuring solutions are secure, scalable, and production-ready
  • Monitoring and improving live systems

About You

We’re looking for someone with a solid engineering foundation who has started working with AI/LLMs in a practical setting.

You’ll ideally have:

  • Strong commercial experience with Python
  • Experience building APIs (FastAPI or similar frameworks)
  • Hands-on experience working with LLMs (OpenAI, Claude or equivalent)
  • Experience working with relational databases (e.g. SQLAlchemy)
  • Exposure to Redis or similar technologies
  • Experience working in a cloud environment (Azure preferred)
  • Understanding of secure, scalable application design

Nice to Have

  • Experience with prompt engineering or LLM optimisation
  • Knowledge of AI safety, data privacy, or governance
  • CI/CD pipelines or Infrastructure-as-Code
  • Containerisation (Docker)
  • Monitoring and observability tools

Why Apply?

  • Work on real, production AI systems — not just experimentation
  • Opportunity to develop further in a fast-growing area of technology
  • Exposure to modern AI tools and cloud-based architecture
  • Collaborative environment with strong technical ownership

If you’re already working with AI and want to take the next step into building scalable, real-world applications, we’d be interested in speaking with you. Please send a copy of your CV with contact information and we will get in touch.


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