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- Tasks: Design and implement LLM-powered systems to solve real customer problems.
- Company: High-growth AI startup in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and support for accessibility needs.
- Why this job: Join a dynamic team and make a real impact in the AI industry.
- Qualifications: Strong skills in AI system building and ML fundamentals required.
- Other info: Encourages underrepresented talent and offers excellent career growth opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A high-growth AI startup in the UK is seeking a Senior AI Engineer to design and implement LLM-powered systems that address real customer problems. This hands-on role requires strong skills in building AI systems and understanding ML fundamentals.
Ideal candidates will enjoy switching between high-level design and low-level debugging, working on scalable AI orchestration, and collaborating with cross-functional teams. The company encourages underrepresented talent to apply and supports accessibility needs.
Senior AI Engineer — Build Production LLM Systems employer: Primis
Contact Detail:
Primis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer — Build Production LLM Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, attend meetups, and connect with people on LinkedIn. 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, especially those involving LLM systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both high-level design concepts and low-level debugging techniques. Practice explaining your thought process clearly, as collaboration is key in cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re all about supporting underrepresented talent, so don’t hesitate to put yourself out there!
We think you need these skills to ace Senior AI Engineer — Build Production LLM Systems
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with AI systems and ML fundamentals. We want to see how you've tackled real customer problems in the past, so don’t hold back!
Be Yourself: Let your personality shine through in your application. We’re a high-growth startup, and we value creativity and innovation. Share your passion for AI and how you enjoy switching between high-level design and low-level debugging.
Tailor Your Application: Make sure to customise your application for the Senior AI Engineer role. Mention specific projects or experiences that relate to building scalable AI orchestration and collaborating with cross-functional teams. It’ll show us you’re a perfect fit!
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. We can’t wait to hear from you!
How to prepare for a job interview at Primis
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be ready to discuss how you've designed and implemented LLM-powered systems in the past, and think about specific customer problems you've solved using these technologies.
✨Showcase Your Debugging Skills
Since this role involves low-level debugging, prepare to share examples of challenging bugs you've encountered and how you resolved them. This will demonstrate your hands-on experience and problem-solving abilities, which are crucial for the position.
✨Highlight Collaboration Experience
This company values teamwork, so be ready to talk about your experiences working with cross-functional teams. Share specific instances where your collaboration led to successful project outcomes, and emphasise your ability to communicate complex AI concepts to non-technical stakeholders.
✨Embrace Diversity and Accessibility
As the company encourages underrepresented talent to apply, show your awareness of diversity and inclusion in tech. Discuss any initiatives you've been part of that promote accessibility or support diverse teams, as this aligns with their values and mission.
