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- Tasks: Design and deliver innovative AI applications for clean energy solutions.
- Company: Join a forward-thinking team at the forefront of AI and clean energy.
- Benefits: Competitive salary, benefits allowance, and hybrid working options.
- Other info: Great career growth opportunities in a dynamic, inclusive environment.
- Why this job: Make a real-world impact while shaping the future of sustainable energy.
- Qualifications: Experience in full stack development and a passion for AI/ML systems.
The predicted salary is between 42000 - 55150 £ per year.
Join a cutting-edge engineering team building AI solutions that support the future of clean energy. This role sits at the heart of delivering secure, scalable AI products that drive real-world impact across complex, regulated environments.
Location: Derby (Hybrid – 2 days per week)
Package: £42,000 - £55,150 p/a + £2200 benefits allowance
Responsibilities:
- Design and deliver full-stack, cloud-native AI applications across front end, APIs, and data layers.
- Build and deploy RAG-based and agent-driven AI systems using secure, governed data sources.
- Develop scalable services on Azure, integrating with enterprise platforms and data pipelines.
- Implement MLOps and AIOps capabilities including model lifecycle management, monitoring, and automation.
- Work on meaningful projects contributing to the future of sustainable energy.
- Exposure to complex, high-impact AI challenges in a real-world setting.
- Opportunity to shape modern AI platforms and influence engineering standards.
Requirements:
- Strong full stack engineering experience (React/TypeScript, Python, FastAPI, or Node.js).
- Proven experience or willingness to learn building AI/ML systems, particularly RAG or agent-based architectures.
- Solid Azure expertise (Azure ML, Azure OpenAI, Functions, AKS, CI/CD pipelines).
- Data engineering knowledge including pipelines, schema design, and observability.
- Experience with software testing, performance optimisation, and production monitoring.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Python Full Stack Developer with AWS Experience. in Derby employer: Addition+
Contact Detail:
Addition+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Full Stack Developer with AWS Experience. in Derby
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 projects, especially those involving Python, AWS, and AI. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to full-stack development and AI systems. Practice 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 by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Python Full Stack Developer with AWS Experience. in Derby
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your full-stack engineering experience and any relevant projects you've worked on, especially those involving AI or cloud technologies.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about clean energy and AI. Share specific examples of how your background aligns with our mission and the role, and don’t forget to show a bit of your personality!
Showcase Your Technical Skills: In your application, be sure to mention your proficiency in Python, React, and Azure. If you have experience with MLOps or AIOps, let us know! We love seeing candidates who are eager to learn and grow in these areas.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Addition+
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, React, and Azure. Brush up on your full-stack development skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your AI Knowledge
Since this role involves building AI solutions, be prepared to talk about any experience you have with AI/ML systems. If you’ve worked with RAG or agent-based architectures, share specific examples of your contributions and the impact they had.
✨Demonstrate Problem-Solving Skills
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or system design scenarios related to cloud-native applications. This will help you articulate your thought process during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to clean energy and AI. This shows your genuine interest in the role and helps you gauge if the company aligns with your values and career goals.