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- Tasks: Join us to design and deploy cutting-edge AI solutions for diverse clients.
- Company: We're a fast-growing AI consultancy with a proven track record in the industry.
- Benefits: Enjoy a competitive salary, EMI shares, 25 days holiday, and private medical care.
- Why this job: Be part of a dynamic team tackling exciting AI challenges in a thriving startup environment.
- Qualifications: 3+ years in software engineering with experience in AI solutions and LLM applications.
- Other info: This hybrid role requires flexibility for client meetings in London.
The predicted salary is between 69000 - 81000 £ per year.
We’re working with a fast growth AI Consultancy with offices in London, Manchester and Edinburgh. The business is 2 years old and currently sitting at 70 people, generating revenue with a range of AI projects including fact extraction, conversational AI, Co-pilots, knowledge graphs, spanning across a variety of clients such as Investments, Insurance, F&B and CPG.
The founders have proven experience in building a consultancy from scratch and exiting, having previously built a Data Science consultancy and successfully sold to a ‘big 4’, they are on course to replicate their success here. This has fuelled rapid growth in the team and we are looking for Senior AI Engineers to join us in building the business by developing end-to-end LLM products for our clients.
What we’re looking for:
- Experience building production ready AI solutions
- Ability to design, build and deploy AI solutions in collaboration with our clients
- Effective communication skills
- Background in foundational Computer Vision/NLP
- Strong Software Engineering skills (3 years+)
- Developed LLM architecture and deployed LLM applications
- Up to date with current trends in AI
- Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc.
The role is hybrid, with ad-hoc requirements to be on client premises (London) this could be between 1-5 days a week, so we would need someone that is flexible.
This is a fantastic opportunity to work on a broad range of problems, applying SOTA AI solutions, in a high growth business, set for success and you will be rewarded with:
- Base salary of up to £115k
- Meaningful EMI shares
- 25 Days holiday
- Statutory pension contribution
- Private medical
Please note: you must be eligible to work in the UK to be considered for this position.
If you think you fit the bill, get in touch by clicking the ‘apply now’ button or get in touch with me by the following:
- Email me at mo@mbnsolutions.com
- Call me on 02037736498
Senior Artificial Intelligence Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Artificial Intelligence Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI, especially in areas like LLM architecture and GenAI. Being able to discuss these topics confidently during your interview will show that you're not just knowledgeable but also passionate about the field.
✨Tip Number 2
Network with professionals in the AI consultancy space. Attend relevant meetups or webinars where you can connect with current employees or industry leaders. This could give you insights into the company culture and potentially a referral.
✨Tip Number 3
Prepare to showcase your previous projects that involved building production-ready AI solutions. Be ready to discuss the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and experience.
✨Tip Number 4
Since the role is hybrid, emphasise your flexibility and willingness to work on client premises when needed. Highlight any past experiences where you've successfully adapted to different working environments.
We think you need these skills to ace Senior Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building production-ready AI solutions, particularly in areas like Computer Vision and NLP. Use specific examples of projects you've worked on that demonstrate your skills in developing LLM architecture.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your familiarity with current trends in AI and how your background aligns with their needs. Be sure to include your effective communication skills and flexibility for hybrid work.
Showcase Relevant Projects: If you have worked on any relevant AI projects, consider including a portfolio or a brief description of these projects in your application. Highlight your experience with techniques like RAG architecture and GenAI, as this will set you apart from other candidates.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail and professionalism, which are crucial in a consultancy environment.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with building production-ready AI solutions. Highlight specific projects where you've designed, built, and deployed AI applications, especially those involving LLM architecture.
✨Demonstrate Effective Communication
Since the role involves collaboration with clients, practice explaining complex AI concepts in simple terms. This will show that you can effectively communicate technical details to non-technical stakeholders.
✨Stay Updated on AI Trends
Familiarise yourself with the latest trends and techniques in AI, such as RAG architecture and GenAI. Being able to discuss these topics will demonstrate your passion for the field and your commitment to continuous learning.
✨Be Flexible and Adaptable
As the role requires hybrid working and occasional client visits, express your willingness to adapt to different working environments. Share examples of how you've successfully navigated changing circumstances in previous roles.
