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- Tasks: Design and deploy LLM-driven features to tackle complex challenges.
- Company: Leading technology consultancy in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape the future of AI by working on real-world applications.
- Qualifications: Strong Python skills and experience deploying LLMs in production.
- Other info: Fast-paced environment with collaborative team culture.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology consultancy in the United Kingdom is looking for an experienced LLM Engineer/AI Engineer to design and deploy LLM-driven features. The ideal candidate will possess strong Python skills and experience in the deployment of LLMs in production. They will work collaboratively in a fast-paced environment, tackling meaningful, complex challenges. This position offers the chance to shape LLM usage in production and ensure compliance with standards.
Production LLM Engineer: Build Real-World AI Features employer: Adria Solutions Ltd
Contact Detail:
Adria Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production LLM Engineer: Build Real-World AI Features
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects and Python prowess. We recommend sharing this on platforms like GitHub to give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on common LLM and AI-related questions, and don’t forget to have some examples ready that demonstrate your problem-solving skills. We want you to shine!
✨Tip Number 4
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 are proactive about their job search!
We think you need these skills to ace Production LLM Engineer: Build Real-World AI Features
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in real-world projects, especially when it comes to deploying LLMs. Don’t hold back on the details!
Tailor Your Experience: When writing your application, focus on your experience with LLMs and any relevant projects. We’re looking for candidates who can tackle complex challenges, so share examples that showcase your problem-solving skills.
Keep It Professional Yet Personal: While we love a professional tone, don’t be afraid to let your personality shine through. We want to get a sense of who you are, so feel free to include a bit about your passion for AI and how you see yourself contributing to our team.
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. Be ready to discuss their architecture, deployment strategies, and any recent advancements in the field. This will show that you're not just familiar with the theory but also understand how to apply it in real-world scenarios.
✨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 or write a small piece of code during the interview. Practise common algorithms and data structures in Python to ensure you're ready to impress.
✨Prepare for Collaborative Scenarios
This position involves working in a fast-paced environment, so be prepared to discuss your experience in collaborative projects. Think of examples where you've successfully worked with others to tackle complex challenges, and be ready to explain your role in those situations.
✨Understand Compliance Standards
Familiarise yourself with the compliance standards relevant to LLM deployment. Be ready to discuss how you would ensure that the features you design meet these standards. This shows that you’re not only technically skilled but also aware of the broader implications of your work.
