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- Tasks: Design and implement AI applications using Large Language Models.
- Company: Leading AI solutions provider in the UK with a focus on innovation.
- Benefits: Competitive salary, private medical insurance, and share option scheme.
- Why this job: Join a cutting-edge team and lead impactful AI projects.
- Qualifications: Strong experience in microservices and data technologies required.
- Other info: Enjoy a hybrid working model with great career growth potential.
The predicted salary is between 70000 - 90000 £ per year.
A leading AI solutions provider in the UK seeks an Applied AI Solution Engineer to design and implement AI applications using Large Language Models. The ideal candidate will own the development process, collaborate with clients, and provide technical leadership. Strong experience in microservices and data technologies is essential. This role offers a hybrid working model and a competitive salary package of £70,000 to £90,000 plus benefits including private medical insurance and a share option scheme.
Applied AI Solutions Engineer — Hybrid, LLM & Impact in Manchester employer: Tomoro
Contact Detail:
Tomoro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Solutions Engineer — Hybrid, LLM & Impact in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those who work with Large Language Models. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI applications and microservices. 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 technical questions related to AI and data technologies. We recommend practising coding challenges and discussing your past experiences with AI solutions to demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Applied AI Solutions Engineer — Hybrid, LLM & Impact in Manchester
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and Large Language Models. Share any projects or experiences that highlight your skills and passion for the field – we love to see candidates who are genuinely excited about what they do!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience with microservices and data technologies, as these are key for us. Use specific examples that demonstrate how you've successfully tackled similar challenges in the past.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Avoid jargon unless it’s relevant, and make sure your key achievements stand out. This helps us quickly see why you’d be a great fit for our team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Tomoro
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Large Language Models and their applications. Be ready to discuss specific projects you've worked on, especially those involving microservices and data technologies. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Collaboration Skills
Since this role involves working closely with clients, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you provided technical leadership or guided a team through a project. This will demonstrate your ability to communicate effectively and lead.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Review common challenges faced in AI application development and think about how you would approach them. Practising coding problems or system design scenarios can also help you feel more confident when discussing your technical skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current AI projects, their approach to innovation, or how they measure the impact of their solutions. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
