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- Tasks: Enhance backend systems using Python and work 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 an impact in the fast-evolving AI landscape.
- Qualifications: Experience with Python, LLMs, and a passion for innovative AI solutions.
- Other info: Ideal for those eager to experiment and adapt in a collaborative 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 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
✨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 it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and frameworks. We recommend practising coding challenges and discussing your past projects. Being ready to talk about your experiences will set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and excited about joining our innovative team.
We think you need these skills to ace AI Engineer — Remote/UK Backend & LLM Innovator
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 CV and cover letter. Tailor your application to reflect the specific skills and experiences that align with our job description. We love seeing candidates who take the time to connect their background to what we’re looking for.
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 shows you’re keen to join our team!
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 familiarity with agentic frameworks is a plus, do some research and be prepared to discuss how these frameworks can enhance AI systems. This shows that you're not just knowledgeable but also proactive in understanding the latest trends.
✨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 open to discussing how you adapt to the fast-evolving landscape.