At a Glance
- Tasks: Design and deliver innovative AI applications for clean energy solutions.
- Company: Join a forward-thinking company at the forefront of sustainable energy.
- Benefits: Enjoy hybrid working, career growth, and collaboration with expert teams.
- Other info: Diverse and inclusive workplace with a focus on innovation.
- Why this job: Make a real-world impact while working on cutting-edge AI technologies.
- Qualifications: Experience in full stack engineering and a passion for AI/ML systems.
The predicted salary is between 50000 - 65000 € 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)
Industry: Clean Energy / Advanced Engineering / AI
What You’ll Be Doing:
- 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
- Embed security, compliance, and safety principles into every stage of development
- Collaborate within cross-functional product squads to deliver features end-to-end
- Contribute to platform best practices, documentation, and continuous improvement initiatives
- Support delivery in a highly regulated environment, ensuring auditability and high engineering standards
Main Skills Needed:
- Strong full stack engineering experience (React/TypeScript, Python, FastAPI, or Node.js)
- Willing to learn building AI/ML systems, particularly RAG or agent-based architectures
- Data engineering knowledge including pipelines, schema design, and observability
- Experience with software testing, performance optimisation, and production monitoring
- Understanding of secure development practices, identity access, and compliance frameworks
- Background working in regulated or safety-critical environments
What’s in It for You:
- Work on meaningful projects contributing to the future of sustainable energy
- Exposure to complex, high-impact AI challenges in a real-world setting
- Collaborative, cross-functional teams with strong technical leadership
- Opportunity to shape modern AI platforms and influence engineering standards
- Hybrid working with flexibility built in
- Long-term career growth within a forward-thinking, innovation-led environment
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.
Full Stack Engineer - Python employer: Addition+
Join a forward-thinking company at the forefront of clean energy and AI innovation, where you will work on impactful projects that contribute to a sustainable future. Our collaborative work culture fosters creativity and technical excellence, providing ample opportunities for career growth in a hybrid working environment. With a commitment to diversity and inclusion, we ensure that every team member's voice is heard and valued.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Engineer - Python
✨Tip Number 1
Network like a pro! Reach out to folks in the clean energy and AI sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your full-stack projects, especially those involving Python and AI. Make sure to include any contributions to open-source projects or personal experiments with RAG-based systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common algorithms and data structures, and get comfortable with system design questions. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with secure development practices and your passion for clean energy solutions. Let’s make an impact together!
We think you need these skills to ace Full Stack Engineer - Python
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match our job description. Highlight your full stack engineering experience, especially with Python and any AI/ML projects you've worked on. We want to see how you can contribute to our cutting-edge team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about clean energy and AI solutions. Share specific examples of your work that align with our mission and values. We love seeing genuine enthusiasm!
Showcase Your Projects:If you've got any personal or professional projects that demonstrate your skills in building cloud-native applications or working with data pipelines, make sure to include them. We’re keen to see your hands-on experience and creativity in action!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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 React, Python, and FastAPI. Brush up on your full stack engineering 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, it’s crucial to demonstrate your understanding of AI/ML systems. Be prepared to talk about any experience you have with RAG or agent-based architectures, and how you can apply that knowledge to clean energy projects.
✨Emphasise Security and Compliance
Given the regulated environment, highlight your experience with secure development practices and compliance frameworks. Share specific examples of how you’ve embedded security principles into your previous work to ensure safety and auditability.
✨Collaborate and Communicate
This role requires working within cross-functional teams, so be ready to discuss how you’ve successfully collaborated with others in the past. Share examples of how you’ve contributed to team projects and how you handle feedback and communication in a team setting.
