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- Tasks: Build innovative AI solutions that drive real business impact and mentor fellow engineers.
- Company: Leading tech solutions provider with a focus on cutting-edge AI technology.
- Benefits: Competitive pay, flexible working arrangements, and comprehensive benefits package.
- Why this job: Join a dynamic team and shape the future of AI in a hybrid work environment.
- Qualifications: Strong background in scalable AI solutions and expertise in LLMs.
- Other info: Exciting opportunities for career growth in a fast-paced tech landscape.
The predicted salary is between 60000 - 80000 £ per year.
A leading technology solutions provider is seeking an Applied AI Solution Engineer to build cutting-edge AI solutions that impact real business. This role involves working closely with Python, mentoring engineers, and engaging with senior stakeholders.
The ideal candidate has a strong track record in scalable AI solutions and expertise in LLMs, along with experience in large-scale AI deployments.
The position offers competitive compensation and benefits, with flexibility in working arrangements.
Senior Applied AI Solutions Engineer — Hybrid/London employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Solutions Engineer — Hybrid/London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and LLMs. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with scalable AI solutions and how you've mentored others. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a better chance of being noticed by our hiring team.
We think you need these skills to ace Senior Applied AI Solutions Engineer — Hybrid/London
Some tips for your application 🫡
Showcase Your AI Expertise: When writing your application, make sure to highlight your experience with scalable AI solutions and LLMs. We want to see how your skills can impact real business, so don’t hold back on sharing specific projects or achievements!
Tailor Your Application: Take the time to customise your application for this role. Mention how your background aligns with the responsibilities of mentoring engineers and engaging with senior stakeholders. We love seeing candidates who understand our needs!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and avoid jargon unless it’s relevant. We appreciate clarity as much as you do!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at MBN Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of scalable AI solutions and large language models (LLMs). Be ready to discuss specific projects you've worked on, especially those that had a real business impact. This will show that you not only understand the theory but also how to apply it in practice.
✨Showcase Your Python Skills
Since this role involves working closely with Python, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a previous project. Practising common algorithms and data structures in Python can give you an edge.
✨Engage with Stakeholders
This position requires engaging with senior stakeholders, so think about how you can communicate complex AI concepts in a way that's easy to understand. Prepare examples of how you've successfully collaborated with non-technical teams in the past, as this will highlight your ability to bridge the gap between tech and business.
✨Mentorship Mindset
As mentoring engineers is part of the job, reflect on your past experiences in guiding others. Be ready to share your approach to mentorship and how you’ve helped team members grow. This shows that you're not just a technical expert but also a team player who values collaboration.