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- Tasks: Design and deploy LLM-driven features into live products.
- 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.
- Qualifications: Experience in deploying LLMs and strong prompt engineering skills required.
- Other info: Challenging environment with opportunities to enhance your skills.
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 England 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 England
✨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 genuinely interested in joining our team!
We think you need these skills to ace Senior LLM Engineer - Production AI & RAG Pipelines in England
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 all about collaboration and innovation, so let us know how you’ve contributed to impactful projects!
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 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 prepared 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 this role, come ready to showcase your skills. Prepare a few examples of prompts you've crafted in the past 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. Brush up on how RAG works and be ready to discuss any relevant projects you've worked on that involved integrating retrieval mechanisms with LLMs.
✨Showcase Your Collaborative Spirit
This role emphasises collaboration, so be prepared to talk about your experiences working in teams. Think of examples where you contributed to a project, overcame challenges together, or learned from your colleagues, as this will demonstrate your fit for their collaborative environment.
