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For Companies At a Glance
- Tasks: Lead the design and deployment of innovative AI applications that make a real impact.
- Company: Join a forward-thinking company at the forefront of Generative AI technology.
- Benefits: Enjoy flexible working options and a competitive salary with great benefits.
- Why this job: Be part of a revolutionary team shaping the future of AI solutions and mentoring others.
- Qualifications: 5+ years in software development with expertise in scalable AI solutions and LLMs required.
- Other info: Engage with senior stakeholders and drive innovation across multiple exciting projects.
The predicted salary is between 60000 - 84000 £ per year.
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 a Senior Applied AI Solution Engineer, you'll be at the forefront of this revolution.
What you’ll do:
- Lead the design, development, and deployment of AI-driven applications
- 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:
- 5+ years of 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
Applied AI Solutions Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Solutions Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI technologies, especially Generative AI. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with Python and large-scale AI deployments by preparing specific examples of projects you've worked on. Be ready to discuss the challenges you faced and how you overcame them.
✨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.
✨Tip Number 4
Highlight your leadership and mentorship skills by preparing anecdotes that demonstrate how you've guided teams or influenced project outcomes. This will show your potential employer that you're not just a tech expert, but also a team player.
We think you need these skills to ace Applied AI Solutions Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in enterprise software development and AI solutions. Focus on specific projects where you've delivered scalable AI applications, especially those involving LLMs.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with the role. Mention your experience in client engagement and team leadership, and provide examples of how you've explained complex AI concepts to non-technical stakeholders.
Showcase Relevant Projects: Include a portfolio or a section in your application that showcases relevant projects. Highlight your role in production-ready AI applications and any innovative solutions you've developed.
Prepare for Technical Questions: Anticipate technical questions related to Python, microservices, and AI model optimisation. Be ready to discuss your approach to designing and building AI solutions from scratch, as well as your experience with fine-tuning and training LLMs.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, microservices, and LLMs in detail. Highlight specific projects where you've successfully implemented AI solutions, focusing on the challenges you faced and how you overcame them.
✨Communicate Complex Ideas Simply
Since you'll be engaging with both technical and non-technical stakeholders, practice explaining complex AI concepts in straightforward terms. Use analogies or real-world examples to make your points clearer.
✨Demonstrate Leadership Skills
Prepare to share instances where you've led a team or mentored junior engineers. Discuss how you translated high-level ideas into actionable plans and drove innovation within your projects.
✨Understand the Business Impact
Research the company’s approach to Generative AI and be ready to discuss how your skills can contribute to their business goals. Show that you understand the importance of aligning AI solutions with real business needs.
