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- Tasks: Design and scale cloud-native services while working with cutting-edge AI technologies.
- Company: Join a dynamic team at the forefront of AI innovation.
- Benefits: Competitive salary, creative culture, and opportunities for professional growth.
- Why this job: Make a real impact on global AI solutions and push tech boundaries.
- Qualifications: Strong coding skills in .NET and Python, plus a passion for AI.
- Other info: Collaborative start-up style environment with excellent career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We're looking for developers who want to push the boundaries of what's possible with AI + cloud. You'll join a collaborative, fast-moving team building scalable AI services, APIs, and tooling that power next-generation applications.
What you'll work on:
- Designing and scaling cloud-native services on Azure
- Building secure, developer-friendly APIs & SDKs
- Working hands-on with LLMs, RAG, and AI orchestration tools
- Deploying and training AI models in real-world environments
- Collaborating with a cross-functional team in a start-up style setup
Requirements:
- Strong coding skills with .NET + Python
- Experience with Azure PaaS (Functions, AKS, API Management)
- Knowledge of microservices, APIs, and AI frameworks (PyTorch, TensorFlow)
- Curiosity and passion for AI innovation
What's in it for you:
- Work at the forefront of AI technology
- A culture that values prototyping, learning, and creativity
- The chance to influence global AI solutions and see your impact
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology and Engineering
Industries: Software Development, IT Services and IT Consulting, and IT System Custom Software Development
Principal Cloud/AI Engineer in Cambridge employer: SoCode Recruitment
Contact Detail:
SoCode Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Cloud/AI Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AI and cloud services. We want to see your coding chops in action, so make it easy for recruiters to see what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to cloud-native services and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 Principal Cloud/AI Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your coding skills in .NET and Python, and any experience with Azure PaaS. We want to see how you can push the boundaries of AI and cloud!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI innovation and how you've collaborated in cross-functional teams. Let us know why you're excited about this role and how you can contribute to our fast-moving team.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with AI models, APIs, or cloud-native services. We love seeing real-world applications of 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 shows your enthusiasm for joining our team at StudySmarter!
How to prepare for a job interview at SoCode Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially .NET, Python, and Azure PaaS. Brush up on your knowledge of microservices and AI frameworks like PyTorch and TensorFlow, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly those related to cloud-native services or AI deployment. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Demonstrate Your Passion for AI
Express your curiosity and enthusiasm for AI innovation. Share any personal projects or research you've done in the field, and be ready to discuss how you stay updated with the latest trends and technologies in AI and cloud computing.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the company culture, and how they approach prototyping and learning. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
