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For Companies At a Glance
- Tasks: Build and deploy cutting-edge AI solutions while mentoring engineers and engaging with stakeholders.
- Company: Join a leading firm harnessing Generative AI to drive business impact.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real difference in the industry.
- Qualifications: Experience in enterprise software development and scalable AI solutions is essential.
- Other info: Work in vibrant Edinburgh or Glasgow with a focus on collaboration and creativity.
The predicted salary is between 60000 - 84000 £ per year.
£70,000-£95,000 + Benefits
Edinburgh or Glasgow: Flexible Working
Ready to make your application? Please do read through the description at least once before clicking on Apply.
Are you passionate about building cutting-edge AI solutions that drive real business impact? Do you want to work with some of the world’s leading AI technologies? Our client helps enterprises harness the power of Generative AI—from crafting meaningful strategies to deploying production-ready AI solutions. As an Applied AI Solution Engineer, you will be at the forefront of this revolution.
What you’ll do:
- Work hands-on with Python, microservices, distributed systems, and LLMs
- Shape AI strategy, mentor engineers, and drive innovation across multiple projects
- Engage directly with senior stakeholders, explaining complex AI concepts in clear terms
What we’re looking for:
- Enterprise software development experience
- A track record of delivering scalable AI solutions
- Proven experience in large-scale AI deployments – has played a key role in production-ready AI applications
- Expertise in LLMs – skilled in fine-tuning, training, and prompt engineering
- AI model optimization – strong knowledge of cost management, evaluation, and modification
- Solution architecture – can design and build AI solutions from scratch
- Client engagement – comfortable working with both technical and non-technical stakeholders
- Team leadership & mentorship – can guide teams, translate high-level ideas into action plans, and drive innovation
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Solution Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Large Language Models (LLMs). Being able to discuss recent advancements and their implications during interviews will demonstrate your passion and expertise in the field.
✨Tip Number 2
Prepare to showcase your experience with scalable AI solutions. Think of specific projects where you played a key role, and be ready to explain your contributions and the impact they had on the business.
✨Tip Number 3
Practice explaining complex AI concepts in simple terms. Since you'll be engaging with both technical and non-technical stakeholders, being able to communicate effectively is crucial for this role.
✨Tip Number 4
Highlight your leadership and mentorship experiences. Be prepared to discuss how you've guided teams in the past and how you can drive innovation within our organisation.
We think you need these skills to ace Applied AI Solution Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Applied AI Solution Engineer position. Tailor your application to highlight your relevant experience in enterprise software development and AI solutions.
Highlight Relevant Experience: In your CV and cover letter, emphasise your track record in delivering scalable AI solutions and your expertise in LLMs. Provide specific examples of past projects where you played a key role in production-ready AI applications.
Showcase Technical Skills: Clearly outline your technical skills related to Python, microservices, and distributed systems. Mention any experience you have with AI model optimisation and solution architecture to demonstrate your capability for this role.
Engage with Stakeholders: Since the role involves client engagement, include examples of how you've successfully communicated complex technical concepts to both technical and non-technical stakeholders. This will show your ability to bridge the gap between technology and business needs.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, microservices, and distributed systems. Highlight specific projects where you've successfully implemented AI solutions, especially those involving LLMs.
✨Communicate Complex Concepts Simply
Since the role involves engaging with senior stakeholders, practice explaining complex AI concepts in layman's terms. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Demonstrate Leadership Experience
Share examples of how you've mentored engineers or led teams in previous roles. Discuss how you translated high-level ideas into actionable plans, showcasing your leadership and innovation skills.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in AI deployments and how you optimised models or managed costs effectively.
