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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 harnessing Generative AI for enterprise solutions.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology, shaping strategies and mentoring future engineers.
- Qualifications: 5+ years in software development with expertise in scalable AI solutions and LLMs.
- Other info: Engage with senior stakeholders and drive innovation across multiple 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 will 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
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI technologies, especially around Generative AI and LLMs. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI space, particularly those who are already working as AI Solutions Engineers. Engaging in discussions can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, focusing on your role in delivering scalable AI solutions. Be ready to explain complex concepts in simple terms, as this is crucial for engaging with stakeholders.
✨Tip Number 4
Showcase your leadership skills by highlighting any experience you have in mentoring or guiding teams. This is a key aspect of the role, and demonstrating your ability to drive innovation will set you apart.
We think you need these skills to ace 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 and production-ready deployments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the role. Mention your experience in mentoring engineers and engaging with stakeholders, as these are key aspects of the job.
Showcase Relevant Projects: Include a portfolio or a section in your application that showcases relevant projects. Highlight your role in designing and deploying AI-driven applications, particularly any experience with microservices and distributed systems.
Prepare for Technical Questions: Anticipate technical questions related to AI model optimization and solution architecture. Be ready to discuss your approach to fine-tuning models and managing costs, as well as how you translate complex AI concepts for non-technical stakeholders.
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 successfully delivered scalable AI solutions, as this will demonstrate your hands-on capabilities.
✨Communicate Complex Ideas Simply
Since the role involves engaging with senior stakeholders, practice explaining complex AI concepts in layman's terms. This skill is crucial for ensuring that everyone understands the value of your work.
✨Demonstrate Leadership Skills
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 ability to drive innovation.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in AI deployments and how you overcame them, as this will illustrate your critical thinking and adaptability.
