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- Tasks: Join a dynamic team to develop and implement cutting-edge AI solutions on Azure.
- Company: Innovative tech firm focused on AI and cloud technologies.
- Benefits: Competitive pay, flexible work schedule, and opportunities for professional growth.
- Why this job: Make an impact in the AI field while working with the latest technologies.
- Qualifications: 5+ years in software engineering or AI/ML, strong Azure experience required.
- Other info: Collaborative environment with potential for career advancement.
The predicted salary is between 48000 - 72000 £ per year.
Our client is looking for an Azure AI Engineer to join their team on a six month initial contract, working three days a week onsite in either London, Tunbridge Wells, Ipswich or Bolton. This role is Inside IR35.
Requirements
- 5-8 years of experience in software engineering or AI/ML development, with at least 4+ years working with Azure AI services
- Strong hands-on experience with Azure AI Doc Intelligence, including document extraction, form recognizers, classification, and OCR automation
- Deep understanding of Azure OpenAI, including GPT models, prompt engineering, content filtering, and model tuning
- Experience using Azure AI Foundry for building, managing, and operationalizing AI solutions
- Practical experience architecting and implementing RAG-based systems using Azure Search or vector index stores
- Strong programming experience in Python, C#, JSON, or Node.js for integrating AI models and building backend services
- Experience with Azure cloud services including Azure Functions, Logic Apps, Storage, App Services, Key Vault, and Event-based architectures
- Understanding of responsible AI practices, data privacy, compliance, and secure deployment models
- Experience troubleshooting AI pipelines, optimizing cost/performance, and improving model accuracy
- Hands-on experience using Azure DevOps, Git repositories, CI/CD pipelines, and deployment automation
- Strong analytical, communication, and stakeholder-management skills
Azure AI Engineer employer: LA International
Contact Detail:
LA International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and Azure communities. Attend meetups or webinars, and don’t be shy about asking for introductions. 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 with Azure AI services. Whether it’s document extraction or building RAG-based systems, having tangible examples can really set you apart during interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your programming skills in Python or C#, and be ready to discuss your experience with Azure AI Doc Intelligence and OpenAI. Practice common interview questions and coding challenges to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Azure AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Azure AI Engineer role. Highlight your experience with Azure AI services and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of your work with Azure AI Doc Intelligence and other relevant technologies. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your experience and skills quickly.
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’s super easy!
How to prepare for a job interview at LA International
✨Know Your Azure AI Stuff
Make sure you brush up on your knowledge of Azure AI services, especially Doc Intelligence and OpenAI. Be ready to discuss your hands-on experience with these tools and how you've used them in past projects. This will show that you're not just familiar with the theory but have practical skills to back it up.
✨Showcase Your Programming Skills
Since programming is a big part of this role, be prepared to talk about your experience with Python, C#, or Node.js. Have examples ready where you've integrated AI models or built backend services. If you can, even demonstrate your problem-solving approach to coding challenges during the interview.
✨Understand Responsible AI Practices
This role requires a solid understanding of responsible AI practices and data privacy. Brush up on these topics and be ready to discuss how you've implemented secure deployment models in your previous work. This shows that you take compliance seriously and understand the ethical implications of AI.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that test your troubleshooting skills and ability to optimise AI pipelines. Think of specific instances where you've improved model accuracy or reduced costs. Sharing these experiences will demonstrate your analytical skills and how you handle real-world challenges.
