Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy LLM-powered systems to tackle operational challenges.
- Company: Tech-driven company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in AI technology.
- Qualifications: Experience in building production AI systems and strong machine learning foundations.
- Other info: Diverse candidates are encouraged to apply, even if not meeting all requirements.
The predicted salary is between 36000 - 60000 £ per year.
A tech-driven company in the UK is seeking an AI Engineer to design and deploy LLM-powered systems that address operational challenges. This role involves implementing LLM-based systems and developing scalable asynchronous architectures.
The ideal candidate has proven experience in building and shipping production AI systems, with strong foundations in machine learning and deep learning. We encourage applications from diverse candidates, even if they don't meet every single requirement.
Production AI Engineer: LLM Systems & Orchestration employer: Primis
Contact Detail:
Primis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI Engineer: LLM Systems & Orchestration
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other AI enthusiasts. 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 and any production AI systems you've built. 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 machine learning and deep learning concepts, and be ready to discuss your past experiences in detail. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about AI and eager to tackle operational challenges with us. Your dream job could be just a click away!
We think you need these skills to ace Production AI Engineer: LLM Systems & Orchestration
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLM systems and production AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how you can tackle operational challenges with LLM-powered systems. Keep it engaging and personal.
Showcase Your Technical Skills: We’re looking for candidates with strong foundations in machine learning and deep learning. Be sure to mention specific technologies or frameworks you’ve worked with that relate to the job description.
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 us!
How to prepare for a job interview at Primis
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be ready to discuss how you've implemented LLM-based systems in the past and the challenges you faced. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Architecture Skills
Since the role involves developing scalable asynchronous architectures, prepare to talk about your experience with system design. Bring examples of projects where you’ve built or improved architectures, and be ready to explain your thought process and the outcomes.
✨Demonstrate Problem-Solving Abilities
The company is looking for someone who can tackle operational challenges. Think of specific problems you've solved in previous roles, especially those related to AI systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Embrace Diversity
Remember, the company encourages applications from diverse candidates. Don’t hesitate to share unique perspectives or experiences that set you apart. This could be anything from unconventional projects to different approaches in problem-solving that highlight your adaptability and creativity.
