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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 - 115000 £ 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
Contact Detail:
LinkedIn 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
Prepare to demonstrate your experience with production-ready AI solutions. Think of specific projects where you designed, built, or deployed AI applications, and be ready to discuss the challenges you faced and how you overcame them.
✨Tip Number 3
Since the role requires effective communication skills, practice explaining complex AI concepts in simple terms. This will help you convey your ideas clearly to both technical and non-technical stakeholders during the interview.
✨Tip Number 4
Be flexible and open about your availability for client meetings in London. Highlighting your willingness to adapt to the hybrid work model can set you apart from other candidates who may not be as accommodating.
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 Computer Vision and NLP. Emphasise your software engineering skills and any relevant projects you've worked on that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the latest trends in the field. Mention specific techniques like RAG architecture and GenAI that you have experience with, and explain how you can contribute to the company's growth.
Showcase Communication Skills: Since effective communication is key for this role, consider including examples in your application that demonstrate your ability to collaborate with clients and team members. This could be through past projects or experiences where you successfully conveyed complex ideas.
Highlight Flexibility: As the role requires flexibility in working on client premises, mention your willingness to adapt to different working environments. This shows that you are ready to meet the demands of the position and can thrive in a hybrid work setting.
How to prepare for a job interview at LinkedIn
✨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. Be ready to discuss how these can be applied to real-world problems during the interview.
✨Flexibility and Adaptability
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 similar situations in the past.
