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- Tasks: Design and develop intelligent AI systems using LLMs and RAG pipelines.
- Company: Leading UK technology firm focused on innovation and diversity.
- Benefits: Competitive salary, flexible working hours, and a vibrant work culture.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 3+ years in AI/ML, strong Python and AWS skills, knowledge of TensorFlow or PyTorch.
- Other info: Exciting opportunities for professional growth in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology firm in the UK is seeking an experienced AI/ML Engineer to design, develop, and deploy intelligent AI systems using LLMs and RAG pipelines.
The ideal candidate has over 3 years of experience in AI/ML, strong Python and AWS skills, and knowledge of frameworks like TensorFlow or PyTorch.
This role offers an opportunity to work in a vibrant environment that values diversity and innovation.
AI/ML Engineer: Build Scalable LLM/RAG Solutions employer: Genese Solution Limited
Contact Detail:
Genese Solution Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer: Build Scalable LLM/RAG Solutions
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML community on LinkedIn or at 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 LLMs and RAG solutions. This is your chance to demonstrate your expertise in Python, AWS, and frameworks like TensorFlow or PyTorch.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI/ML interview questions and be ready to discuss your past experiences. Practice coding challenges to keep your skills sharp.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for talented individuals like you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI/ML Engineer: Build Scalable LLM/RAG Solutions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML, especially in LLMs and RAG pipelines. We want to see how your skills in Python and AWS shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for AI/ML. Tell us why you’re excited about this role and how you can contribute to our innovative environment.
Showcase Relevant Projects: If you've worked on projects using TensorFlow or PyTorch, don’t hold back! Share specific examples that demonstrate your expertise and problem-solving skills in AI/ML.
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!
How to prepare for a job interview at Genese Solution Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to LLMs and RAG pipelines. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Experience with Frameworks
Prepare to talk about your experience with TensorFlow or PyTorch. Have examples ready that demonstrate how you've used these frameworks to solve real-world problems. This will help the interviewers see your hands-on expertise and how you can contribute to their projects.
✨Emphasise Your Problem-Solving Skills
AI/ML roles often involve tackling complex challenges. Think of a few scenarios where you've successfully solved difficult problems using AI/ML techniques. Sharing these stories will highlight your critical thinking and innovation, which are key traits for this role.
✨Cultural Fit Matters
Since the company values diversity and innovation, be prepared to discuss how you can contribute to their vibrant environment. Share your thoughts on collaboration and how you’ve worked in diverse teams before. This will help them see you as a great fit for their culture.
