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- Tasks: Design and deploy LLM-driven features into live products, optimising for performance and cost.
- Company: Leading AI solutions provider in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a collaborative team and work on impactful AI projects that shape the future.
- Qualifications: Proven experience in deploying LLMs and strong prompt engineering skills.
- Other info: Challenging environment with excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI solutions provider in the United Kingdom is seeking a talented individual to design and deploy LLM-driven features into live products. You will work with both commercial and open-source models, optimizing solutions for performance and cost.
Ideal candidates should have proven experience in deploying LLMs, strong skills in prompt engineering, and familiarity with RAG processes. This role offers the opportunity to contribute to impactful projects in a collaborative and challenging environment.
Senior LLM Engineer - Production AI & RAG Pipelines in London employer: Adria Solutions Ltd
Contact Detail:
Adria Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior LLM Engineer - Production AI & RAG Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects, prompt engineering examples, and any RAG processes you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to LLM deployment and optimisation. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior LLM Engineer - Production AI & RAG Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLMs and prompt engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in deploying LLMs or optimising solutions. We’re looking for candidates who can think critically and adapt to new situations, so let us know how you’ve done this!
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Adria Solutions Ltd
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be ready to discuss your experience with both commercial and open-source models, and think about specific examples where you've optimised solutions for performance and cost.
✨Master Prompt Engineering
Since prompt engineering is a key part of the role, prepare to showcase your skills in this area. Bring along examples of prompts you've crafted and be ready to explain how they improved model outputs or user interactions.
✨Familiarise Yourself with RAG Processes
Understanding Retrieval-Augmented Generation (RAG) processes is crucial. Do some research on how RAG works and be prepared to discuss how you've implemented it in past projects or how you would approach it in this new role.
✨Showcase Your Collaborative Spirit
This role emphasises collaboration, so be ready to share experiences where you've worked effectively in a team. Highlight how you’ve contributed to group projects and how you handle challenges in a collaborative environment.
