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- Tasks: Design and deliver production-ready AI solutions using LLM capabilities.
- Company: Fast-growing AI tech company in England with a collaborative culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape the future of AI while working on impactful projects in a dynamic environment.
- Qualifications: Strong Python skills and experience deploying LLMs in production.
- Other info: Join a team that values innovation and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
A fast-growing AI technology company in England is seeking a Senior LLM Engineer to design and deliver LLM capabilities for production environments. This hands-on role requires strong Python skills and experience deploying LLMs in production. The ideal candidate will collaborate with various teams to optimize solutions for performance and compliance. This is a high-impact position that allows you to shape the use of AI in critical settings while working in a collaborative engineering culture.
Senior LLM Engineer: Build Production-Ready AI Solutions 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: Build Production-Ready AI Solutions in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects, especially those that highlight your Python prowess. 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 LLM-related questions and scenarios. Practice explaining your past projects and how you optimised them for performance and compliance—this is key for a role like this!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior LLM Engineer: Build Production-Ready AI Solutions 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 deploying LLMs in production. Don’t hold back on the details!
Collaborate Like a Pro: Since this role involves working with various teams, share examples of how you've collaborated in past projects. We love seeing teamwork in action, so let us know how you’ve optimised solutions together.
Focus on Impact: This is a high-impact position, so we want to hear about the results of your work. Describe how your contributions have shaped AI solutions in previous roles and the difference they made in critical settings.
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 Python Inside Out
Since this role requires strong Python skills, make sure you brush up on your coding knowledge. Be prepared to discuss your past projects and how you've used Python to deploy LLMs in production. Practising coding challenges can also help you feel more confident.
✨Understand LLM Deployment
Familiarise yourself with the nuances of deploying LLMs in production environments. Be ready to talk about the challenges you've faced and how you've optimised solutions for performance and compliance. This will show that you have hands-on experience and can hit the ground running.
✨Collaborative Mindset
This position involves working with various teams, so highlight your collaborative experiences. Think of examples where you've successfully worked with others to solve problems or improve processes. This will demonstrate that you're a team player who fits well into their engineering culture.
✨Showcase Your Impact
As this is a high-impact role, be prepared to discuss how your contributions have shaped AI solutions in previous positions. Use specific metrics or outcomes to illustrate your success. This will help the interviewers see the value you can bring to their company.
