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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 hours 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 proven experience in scalable AI solutions.
- Other info: Work hands-on with cutting-edge technologies like Python, microservices, and LLMs.
The predicted salary is between 56000 - 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.
- 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
Requirements:
- 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
AI Solution Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Engineer
✨Tip Number 1
Network with professionals in the AI field. Attend industry conferences, webinars, or local meetups to connect with others who are already working in AI solutions. This can help you gain insights into the latest trends and potentially lead to referrals.
✨Tip Number 2
Showcase your hands-on experience with relevant technologies. If you've worked with Python, microservices, or LLMs, be prepared to discuss specific projects where you applied these skills. Real-world examples can make a strong impression during interviews.
✨Tip Number 3
Prepare to explain complex AI concepts in simple terms. Since the role involves engaging with senior stakeholders, practice breaking down technical jargon into layman's terms. This will demonstrate your ability to communicate effectively across different levels of an organisation.
✨Tip Number 4
Stay updated on the latest advancements in AI and machine learning. Follow relevant blogs, podcasts, and research papers to keep your knowledge fresh. Being well-informed will not only help you in interviews but also show your passion for the field.
We think you need these skills to ace AI Solution 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 skills align with the role. Mention your experience with Python, microservices, and solution architecture, and provide examples of how you've engaged with stakeholders to explain complex concepts.
Showcase Relevant Projects: Include a portfolio or a section in your application that showcases relevant projects you've worked on. Highlight your role in these projects, particularly in areas like AI model optimisation and fine-tuning, to demonstrate your hands-on experience.
Prepare for Technical Questions: Anticipate technical questions related to AI solutions and be ready to discuss your approach to problem-solving in this field. Brush up on your knowledge of AI technologies and be prepared to explain your thought process clearly.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, microservices, and LLMs in detail. Bring examples of past projects where you successfully delivered scalable AI solutions, as this will demonstrate your hands-on expertise.
✨Communicate Complex Concepts Simply
Since the role involves engaging with senior stakeholders, practice explaining complex AI concepts in layman's terms. This will show your ability to bridge the gap between technical and non-technical audiences.
✨Demonstrate Leadership and Mentorship
Highlight any experience you have in mentoring engineers or leading projects. Discuss how you've driven innovation in previous roles, as this aligns with the expectations of shaping AI strategy.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in large-scale AI deployments and how you overcame them, as this will showcase your critical thinking and adaptability.
