At a Glance
- Tasks: Design and build cutting-edge AI systems, tackling complex LLM challenges.
- Company: Fast-growing AI consultancy in the UK with a focus on innovation.
- Benefits: Salary between £80,000 to £110,000, bonus scheme, and personal development opportunities.
- Other info: Enjoy flexibility in equipment choice and a supportive work environment.
- Why this job: Join a dynamic team and work on impactful AI projects that shape the future.
- Qualifications: Strong Python skills and experience with LLM APIs required.
The predicted salary is between 80000 - 110000 £ per year.
Via, a fast-growing AI consultancy in the UK, is seeking experienced AI Engineers to join its team. The role focuses on designing and building production-grade AI systems, working on complex LLM challenges. Candidates should have strong Python skills and experience with LLM APIs.
The position offers a salary of £80,000 to £110,000, along with a bonus scheme and opportunities for personal development and equipment choice.
Production AI Engineer: LLMs, RAG & Enterprise Scale in London employer: Via
At Via, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is reflected in our personal development opportunities and the flexibility to choose your own equipment, ensuring you have the tools needed to excel in your role. Located in the heart of the UK, we provide a stimulating environment for AI Engineers to tackle complex challenges while enjoying competitive salaries and a rewarding bonus scheme.
StudySmarter Expert Advice🤫
We think this is how you could land Production AI Engineer: LLMs, RAG & Enterprise Scale in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those working at Via or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with LLMs and Python. This gives you a chance to demonstrate your expertise and passion for AI engineering beyond just your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of LLM APIs and production-grade systems. Practise coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Production AI Engineer: LLMs, RAG & Enterprise Scale in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python skills and experience with LLM APIs in your application. We want to see how you can tackle those complex challenges, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for the role. We love seeing how your unique experiences align with our needs, so make it personal and relevant!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about what you bring to the table.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role.
How to prepare for a job interview at Via
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) and their applications. Be ready to discuss specific challenges you've faced in previous projects and how you tackled them, as this will show your hands-on experience.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand to feel confident.
✨Familiarise Yourself with LLM APIs
Research the various LLM APIs available and be prepared to discuss how you've used them in past projects. Highlight any specific integrations or custom solutions you've developed, as this will showcase your technical expertise.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI consultancy and the specific challenges they face. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
