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- Tasks: Design and deliver innovative AI solutions for clean energy.
- Company: Join a forward-thinking engineering team focused on sustainability.
- Benefits: Competitive salary, benefits allowance, and hybrid working options.
- Other info: Dynamic environment with long-term career growth opportunities.
- Why this job: Make a real impact in the future of sustainable energy with cutting-edge technology.
- Qualifications: Strong full-stack engineering experience and proven AI/ML system development.
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
Key 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.
Required Skills:
- Strong full stack engineering experience (React/TypeScript, Python, FastAPI, or Node.js).
- Proven experience 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.
Additional Information:
- 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.
- 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.
Ingenieur:in Projekte in Etwall employer: Addition+
Contact Detail:
Addition+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingenieur:in Projekte in Etwall
✨Tip Number 1
Network like a pro! Reach out to people in the clean energy and AI sectors on LinkedIn. Join relevant groups, attend webinars, 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 projects, especially those involving full-stack engineering or AI systems. This is your chance to demonstrate your expertise in React, Python, or Azure – make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and cloud-native applications. Practice explaining your past projects and how they relate to the role. Confidence is key, so get comfortable talking about your experience!
✨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. Let’s get you on board with our innovative team!
We think you need these skills to ace Ingenieur:in Projekte in Etwall
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 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 at StudySmarter, and let us know what excites you about this role.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise in Azure, React, Python, or any other relevant technologies. We love seeing candidates who can demonstrate their knowledge of building scalable services and MLOps capabilities. Make it easy for us to see your strengths!
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 shows us you’re keen on joining our innovative team at StudySmarter!
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, TypeScript, Python, and Azure. Brush up on your full-stack engineering skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your AI Experience
Prepare specific examples of AI/ML systems you've built, especially those involving RAG or agent-based architectures. Be ready to explain the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Understand Clean Energy Impact
Familiarise yourself with the clean energy sector and how AI can drive real-world impact. Being able to discuss current trends and challenges in this field will show your genuine interest and alignment with the company’s mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Think about asking how they approach MLOps and AIOps in their projects.