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- Tasks: Enhance backend systems and innovate with cutting-edge AI technologies.
- Company: Well-funded AI company focused on innovation and ownership.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the AI landscape.
- Qualifications: Proficiency in Python and hands-on experience with LLMs.
- Other info: Ideal for those eager to experiment and adapt in a fast-paced environment.
The predicted salary is between 60000 - 80000 £ per year.
A well-funded AI company is looking for an AI Engineer with Python expertise to enhance their backend systems. The role can be remote or on-site in London, appealing to candidates excited about AI and ownership in their work.
Ideal candidates will have hands-on experience with LLMs and familiarity with agentic frameworks. This team values innovation in the fast-evolving AI landscape, aiming for those ready to experiment and adapt.
AI Engineer — Remote/UK Backend & LLM Innovator in London employer: Tech Talent Partners
Contact Detail:
Tech Talent Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer — Remote/UK Backend & LLM Innovator in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space 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 projects, especially those involving Python and LLMs. We want to see your hands-on experience, so make sure it’s easy for potential employers to find your work.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. We recommend practising with friends or using online platforms to simulate the interview experience.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for innovative minds ready to experiment and adapt in the AI landscape. Your next big opportunity could be just a click away!
We think you need these skills to ace AI Engineer — Remote/UK Backend & LLM Innovator 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 past projects, especially if you've worked on backend systems or with LLMs.
Demonstrate Your Passion for AI: Let us know why you're excited about AI! Share any personal projects or experiences that showcase your enthusiasm and innovative spirit in this fast-evolving field.
Tailor Your Application: Don’t just send a generic application. Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that align with our job description. We love seeing candidates who put in the effort!
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!
How to prepare for a job interview at Tech Talent Partners
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems, especially in backend systems.
✨Showcase Your LLM Experience
Prepare to talk about your hands-on experience with large language models (LLMs). Bring examples of how you've implemented or experimented with LLMs in previous roles, as this will demonstrate your expertise and passion for AI.
✨Familiarise Yourself with Agentic Frameworks
Since the role mentions agentic frameworks, do some research and be prepared to discuss how these frameworks can enhance AI systems. Showing that you understand their application will set you apart from other candidates.
✨Emphasise Your Innovative Mindset
This company values innovation, so come ready to share your ideas on how to push boundaries in AI. Think of a few creative solutions or experiments you've considered in the past and be ready to discuss them enthusiastically.