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- Tasks: Design and build AI applications using Python and integrate cutting-edge technologies.
- Company: Join Amtis, a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Work on real-world AI systems and make a tangible impact in technology.
- Qualifications: Experience with Python, APIs, and AI models is essential.
- Other info: Collaborative team environment with strong focus on technical ownership.
The predicted salary is between 50000 - 70000 £ per year.
Amtis is proud to be hiring for an 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
- Designing, building, and maintaining AI-driven applications using modern Python frameworks and leading LLM technologies.
- 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.
Artificial Intelligence Engineer employer: Amtis - Digital, Technology, Transformation
Contact Detail:
Amtis - Digital, Technology, Transformation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions related to Python, APIs, and cloud deployment to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AI technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a great fit for our team. Keep it engaging and personal — we love to see your personality!
Showcase Your Projects: If you've worked on any AI-powered applications or relevant projects, make sure to mention them in your application. We’re keen to see practical examples of your work, especially if they involve APIs or LLMs!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy — just follow the prompts!
How to prepare for a job interview at Amtis - Digital, Technology, Transformation
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and LLMs before the interview. Be ready to discuss your hands-on experience with Python frameworks, RESTful APIs, and any projects you've worked on that involved integrating AI models. This will show that you're not just familiar with the theory but have practical skills too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially those related to building scalable applications or optimising performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see how you approach problem-solving.
✨Get Familiar with Their Tech Stack
Research Amtis and their tech stack, particularly focusing on Azure, SQLAlchemy, and Redis. If you can demonstrate an understanding of how these technologies fit into the role, it’ll show that you’re genuinely interested and ready to hit the ground running.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of your interview. This could be about their current AI projects, team dynamics, or how they measure success in this role. It shows that you’re engaged and thinking critically about how you can contribute to their goals.