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- Tasks: Develop cutting-edge AI solutions and collaborate with stakeholders to drive innovation.
- Company: Leading tech organisation in the insurance sector with a focus on AI excellence.
- Benefits: Competitive salary, hybrid working, flexible hours, and strong benefits package.
- Other info: Opportunities for continuous learning and clear career progression.
- Why this job: Join a dynamic team shaping the future of AI and make a real impact.
- Qualifications: Degree in Computing, 3 years software development experience, and LLM expertise.
The predicted salary is between 45000 - 55000 £ per year.
My client, a leading technology organisation within the insurance sector, is hiring an AI Engineer to join a newly established AI Centre of Excellence. This is an exciting opportunity to play a key role in developing cutting-edge AI solutions for global clients and shaping the future direction of AI within the business.
Competitive salary (DOE), hybrid working, flexible working hours, strong benefits package, and clear career progression opportunities.
You will be part of a highly experienced and collaborative team delivering innovative AI-driven solutions to enterprise clients across multiple regions. The organisation is committed to investing in its people through continuous learning, professional development, and a supportive working environment.
As an AI Engineer, you will work closely with business stakeholders to design and deliver AI-powered solutions. You will develop and maintain large language models (LLMs) and AI agents, integrate them into enterprise systems, and continuously optimise performance, scalability, and security.
The Role:- Work with stakeholders to translate business requirements into AI solutions
- Design, develop, and maintain LLMs and AI agents in a cloud-based environment
- Integrate AI solutions into existing enterprise platforms
- Monitor and improve model performance, scalability, and security
- Ensure adherence to best practices in AI governance, quality, and responsible use
- Degree in Computing or a related discipline (2:1 or equivalent)
- Minimum 3 years' experience in software development (including APIs)
- At least 1 year of experience building LLM-based solutions in a cloud environment
- Desirable: Experience within financial services, particularly insurance
- Relevant AI certifications (e.g. cloud AI fundamentals or AI engineering)
- Exposure to enterprise-scale AI deployments
For further information on this role, or any other AI / Software Engineering opportunities, apply via the link or contact me for a confidential discussion. This recruitment is handled by a specialist agency acting as both an employment agency and employment business. Successful applicants may be required to complete standard pre-employment checks.
AI Software Engineer (Azure) - North Coast Northern Ireland in Londonderry employer: VANRATH
Contact Detail:
VANRATH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer (Azure) - North Coast Northern Ireland in Londonderry
✨Tip Number 1
Network like a pro! Reach out to people in the industry, 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 AI projects, especially those involving LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and scenarios. Practice explaining your thought process when designing AI solutions, as this will demonstrate your expertise and problem-solving skills.
✨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 hearing from passionate candidates like you!
We think you need these skills to ace AI Software Engineer (Azure) - North Coast Northern Ireland in Londonderry
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with LLMs and cloud environments, and don’t forget to mention any relevant certifications. We want to see how you fit into our AI Centre of Excellence!
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 skills align with our mission. Keep it concise but impactful – we love a good story that showcases your journey in tech.
Showcase Your Projects: If you've worked on any AI projects, especially those involving LLMs or cloud solutions, make sure to include them. We’re keen to see your hands-on experience and how you’ve tackled challenges in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother 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 VANRATH
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, especially around large language models and cloud environments. Be ready to discuss your previous projects and how they relate to the role. This shows you're not just a theoretical expert but someone who can apply their knowledge practically.
✨Understand the Business
Since you'll be working closely with stakeholders, it’s crucial to understand the insurance sector and how AI can drive value in that space. Research the company’s current AI initiatives and think about how you can contribute to their goals. This will help you stand out as a candidate who is genuinely interested in the role.
✨Prepare for Technical Questions
Expect technical questions related to software development, APIs, and AI governance. Practise explaining complex concepts in simple terms, as you may need to communicate with non-technical stakeholders. This will demonstrate your ability to bridge the gap between tech and business.
✨Show Your Collaborative Spirit
This role involves working in a highly experienced and collaborative team, so be prepared to discuss your teamwork experiences. Share examples of how you've successfully collaborated on projects, resolved conflicts, or contributed to a positive team environment. This will highlight your fit within their culture.