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For Companies At a Glance
- Tasks: Build innovative AI solutions and collaborate with global clients.
- Company: Exciting AI startup in the UK with a dynamic team.
- Benefits: Up to £130k salary, equity, 31 days holiday, and a learning budget.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Experience in early-stage AI startups and developing AI models.
- Other info: Remote work with a vibrant culture and growth opportunities.
The predicted salary is between 78000 - 182000 £ per year.
An innovative AI startup in the United Kingdom is looking for a Founding Engineer to join their dynamic team. This remote role offers a base salary of up to £130k plus equity. The ideal candidate has experience in early-stage AI startups and a strong background in developing AI models, especially with modern LLMs.
Responsibilities include:
- Building AI solutions
- Working with global clients in a collaborative environment
Enjoy benefits like 31 days of holiday and a dedicated learning budget.
Founding AI Engineer — Remote, Equity, Up to £130k in London employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding AI Engineer — Remote, Equity, Up to £130k in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI space, especially those who are already in startups. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on that perfect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way.
We think you need these skills to ace Founding AI Engineer — Remote, Equity, Up to £130k in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how your experience aligns with our mission and how you can contribute to building innovative solutions.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Founding AI Engineer role. Highlight your experience with LLMs and any relevant projects you've worked on. This helps us see why you're the perfect fit!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you stand out as a candidate. Remember, less is often more!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at MBN Solutions
✨Know Your AI Models
Make sure you brush up on your knowledge of modern LLMs and other AI models. Be ready to discuss your past experiences in developing these technologies, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Startup Experience
Since this role is with an early-stage AI startup, highlight your previous experiences in similar environments. Share specific examples of how you've contributed to building AI solutions and collaborating with teams to achieve goals.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of AI concepts. Practise coding challenges or case studies relevant to AI development to demonstrate your expertise during the interview.
✨Emphasise Collaboration
This role involves working with global clients in a collaborative environment. Be prepared to discuss how you’ve successfully worked in teams, communicated with stakeholders, and adapted to different working styles in your previous roles.
