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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 and make a real impact in production environments.
- Qualifications: Strong Python skills and experience deploying LLMs in production.
- Other info: Fast-paced, collaborative environment with exciting challenges.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at 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 any relevant Python work. We want to see what you can do, so make it easy for potential employers to be impressed!
✨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 of how you’ve tackled complex challenges in the past. 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. We’re excited to see what you bring to the table, so don’t hold back!
We think you need these skills to ace Production LLM Engineer: Build Real-World AI Features in London
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 Application: Take a moment to customise your application for this role. We love seeing candidates who understand our needs and can demonstrate how their experience aligns with the job description. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills. Avoid fluff – we want to know what you can 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. Plus, it makes the whole process smoother for everyone involved.
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 prepared to discuss their architecture, deployment strategies, and any relevant projects you've worked on. This will show that you're not just familiar with the theory but have practical experience too.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem or even write a small piece of code during the interview. Practise common algorithms and data structures in Python to ensure you're sharp.
✨Prepare for Real-World Scenarios
Think about how you would tackle real-world challenges related to LLM deployment. Prepare examples from your past experiences where you faced complex issues and how you resolved them. This will highlight your problem-solving skills and ability to work in a fast-paced environment.
✨Understand Compliance Standards
Familiarise yourself with compliance standards relevant to AI and LLM usage. Be ready to discuss how you would ensure that the features you design meet these standards. This shows that you’re not only technically proficient but also aware of the ethical implications of your work.
