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- Tasks: Join a team to design and build secure AI platform services on Microsoft Azure.
- Company: Cutting-edge AI Core Services team based in Cambridge.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Make an impact by developing advanced AI capabilities and mentoring future tech leaders.
- Qualifications: Experience with AI technologies, strong coding skills, and a passion for innovation.
- Other info: Collaborative environment with global teams and exciting projects.
The predicted salary is between 36000 - 60000 £ per year.
Cambridge, Hybrid – 6 months (+ Ext)
Join a cutting-edge AI Core Services team in Cambridge to design and build secure, scalable, and cloud-native AI platform services and public APIs on Microsoft Azure. This role focuses on delivering production-grade AI capabilities that support advanced orchestration, model deployment, and secure access.
Key Responsibilities
- Develop fault-tolerant services using Azure and .NET technologies.
- Build secure, well-documented public APIs and SDKs.
- Deliver full-stack AI solutions across data pipelines and orchestration layers.
- Lead design/code reviews and contribute to architectural decisions.
- Mentor junior engineers and collaborate across global R&D teams.
Technical Expertise
- Strong experience with Large Language Models (LLMs), RAG, agent orchestration, and prompt engineering.
- Familiarity with AI standards like MCP and Agent2Agent.
- Skilled in Python, PyTorch, TensorFlow, and AI tools like GitHub Copilot.
- Knowledge of ML algorithms and AI ethics frameworks (e.g., NIST AI RMF, EU AI Act).
- Experience with AI orchestration platforms (AI Foundry, Semantic Kernel).
- RESTful API design and lifecycle management.
- Security best practices for APIs and data privacy.
- Agile development in hybrid teams.
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AI Developer - Azure .Net - Cambridge employer: Simon James IT Ltd
Contact Detail:
Simon James IT Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Developer - Azure .Net - Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Azure communities, attend meetups, and connect 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 LLMs and Azure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI ethics frameworks. Practice common interview questions related to .NET and Azure to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Developer - Azure .Net - Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Developer role. Highlight your experience with Azure, .NET, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Technical Skills: Don’t forget to showcase your technical expertise in your application. Mention your experience with Large Language Models, RESTful API design, and any other relevant tools or frameworks. We’re keen to see what you can bring to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Simon James IT Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure, .NET, and AI technologies. Be ready to discuss your experience with Large Language Models, prompt engineering, and any relevant projects you've worked on. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially around building secure APIs or developing fault-tolerant services. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled these issues.
✨Demonstrate Collaboration and Mentorship
Since this role involves mentoring junior engineers and collaborating with global teams, be ready to share examples of how you've successfully worked in a team environment. Talk about any experiences where you led design reviews or contributed to architectural decisions.
✨Understand AI Ethics and Standards
Familiarise yourself with AI ethics frameworks and standards like the NIST AI RMF and the EU AI Act. Being able to discuss these topics will show that you’re not only technically proficient but also aware of the broader implications of AI development.
