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- Tasks: Develop AI applications using Python and work with large language models.
- Company: Amtis, a forward-thinking company focused on AI solutions.
- Benefits: Competitive salary, hybrid working, and great benefits.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
- Why this job: Join a team making a real impact with cutting-edge AI technology.
- Qualifications: Experience with Python, APIs, and exposure to LLMs or generative AI.
The predicted salary is between 50000 - 65000 £ per year.
Amtis is proud to be recruiting for an AI Developer to join a team focused on developing and delivering AI-enabled solutions across the business. The role involves working with Python and LLM’s to build applications that support internal systems and processes.
Key Responsibilities
- Develop applications using Python
- Build and maintain APIs to support system integration
- Work with large language models (e.g. OpenAI, Claude or similar)
- Design and work with data storage layers
- Support performance and scalability improvements
- Contribute to the development of internal tools or dashboards
- Deploy and maintain applications within a cloud environment
- Monitor and support live systems
Requirements
- Commercial experience with Python
- Experience building APIs (FastAPI, Flask, Django or similar)
- Exposure to LLMs or generative AI
- Experience working with databases
- Familiarity with cloud platforms
- Understanding of application design and best practices
If you are interested in this opportunity and would like to hear more, please apply for the opportunity with an updated CV and contact information.
AI Developer employer: Amtis - Digital, Technology, Transformation
Contact Detail:
Amtis - Digital, Technology, Transformation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Developer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. 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 Python projects, APIs you've built, and any work with LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, APIs, and cloud platforms. Practise coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and APIs. We want to see how your skills match the job description, 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 development and how your background makes you a great fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool projects involving LLMs or cloud applications, make sure to mention them! We love seeing practical examples of your work that demonstrate your skills and creativity.
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!
How to prepare for a job interview at Amtis - Digital, Technology, Transformation
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve real-world problems. Practising coding challenges can also help you demonstrate your proficiency.
✨Familiarise Yourself with APIs
Since building APIs is a key part of the role, take some time to review the frameworks like FastAPI, Flask, or Django. Be prepared to explain how you've built and maintained APIs in previous roles, and think about any challenges you faced and how you overcame them.
✨Get Comfortable with LLMs
As the job involves working with large language models, make sure you understand the basics of how they work. If you've had any hands-on experience with models like OpenAI or Claude, be ready to share specific examples of how you've implemented them in your projects.
✨Cloud Knowledge is Key
Since the role requires deploying applications in a cloud environment, brush up on your knowledge of cloud platforms. Be prepared to discuss your experience with cloud services and how you've used them to enhance application performance and scalability.