At a Glance
- Tasks: Develop AI infrastructure systems for large-scale models in a dynamic environment.
- Company: Project People, a forward-thinking company based in Edinburgh City Centre.
- Benefits: Generous benefits package and opportunities for professional growth.
- Other info: Permanent role with on-site work in a collaborative atmosphere.
- Why this job: Join a cutting-edge team and work on innovative AI projects that make a difference.
- Qualifications: Strong background in distributed systems and hands-on experience with vLLM and PyTorch.
The predicted salary is between 50000 - 70000 £ per year.
Project People is seeking a Systems Research Engineer - LLM Optimisation in Edinburgh City Centre. This permanent role involves on-site work where you will develop AI infrastructure systems for large-scale models.
Ideal candidates possess a strong background in distributed systems and AI model serving, holding a relevant degree, and have hands-on experience with frameworks like vLLM and PyTorch.
Generous benefits package offered.
LLM Systems Engineer: Optimisation & Distributed AI employer: Project People
At Project People, we pride ourselves on being an excellent employer, offering a dynamic work environment in the heart of Edinburgh City Centre. Our commitment to employee growth is reflected in our generous benefits package and opportunities for professional development, making it an ideal place for those passionate about AI and distributed systems to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Systems Engineer: Optimisation & Distributed AI
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and systems engineering space on LinkedIn or at local meetups. 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 projects with frameworks like vLLM and PyTorch. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of distributed systems and AI model serving. Practice common interview questions and even consider doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed.
We think you need these skills to ace LLM Systems Engineer: Optimisation & Distributed AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with distributed systems and AI model serving. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience with frameworks like vLLM and PyTorch!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI infrastructure systems and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Relevant Projects:If you've worked on any projects related to LLM optimisation or distributed AI, make sure to mention them! We’re keen to see real-world applications of your skills, so include links or descriptions that highlight your contributions.
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 and you’ll be all set!
How to prepare for a job interview at Project People
✨Know Your Tech Inside Out
Make sure you’re well-versed in distributed systems and AI model serving. Brush up on frameworks like vLLM and PyTorch, as you might be asked to discuss your hands-on experience with them. Being able to talk confidently about your past projects will really impress the interviewers.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Think of examples where you optimised systems or improved performance. This will demonstrate your critical thinking and ability to adapt, which are key for a Systems Research Engineer.
✨Understand the Company’s Vision
Research Project People and their approach to AI infrastructure systems. Knowing their goals and recent projects can help you tailor your answers and show that you’re genuinely interested in contributing to their mission. It’s all about making that connection!
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. This could be about their current projects, team dynamics, or future developments in AI. It shows that you’re engaged and eager to learn more about the role and the company.
