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- Tasks: Design and deploy LLM-driven features into live products for impactful projects.
- Company: Leading AI solutions provider in the UK with a focus on innovation.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on cutting-edge AI technologies.
- Qualifications: Experience in deploying LLMs and strong prompt engineering skills required.
- Other info: Challenging role with opportunities to optimise performance and cost.
The predicted salary is between 43200 - 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 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
✨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. Practice explaining your thought process and problem-solving strategies clearly and confidently.
✨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
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. Let us know what excites you about working with RAG processes.
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled challenges in deploying LLMs. We love seeing candidates who can think critically and optimise solutions for performance and cost.
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 this exciting opportunity. Don’t miss out!
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 this 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 efficiency in past projects.
✨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 previous roles or how you would approach it in this position.
✨Showcase Your Collaborative Spirit
This role emphasises collaboration, so be ready to share experiences where you've worked effectively in a team. Highlight any challenges you faced and how you contributed to overcoming them, as this will demonstrate your ability to thrive in a collaborative environment.
