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- Tasks: Architect AI-driven solutions and lead the development of robust AI systems.
- Company: Leading tech company based in Oxford with a focus on innovation.
- Benefits: Competitive benefits and a flexible hybrid working environment.
- Why this job: Make a real impact in AI development and mentor the next generation of engineers.
- Qualifications: Experience in AI and machine learning, with strong leadership skills.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company based in Oxford is seeking a Senior AI Engineer to architect AI-driven solutions using advanced machine learning techniques. In this role, you will lead the development of robust AI systems, mentor junior team members, and ensure effective integration of AI capabilities on AWS infrastructure.
You will collaborate closely with product managers to ensure these solutions deliver real value, championing best practices in AI development to drive excellence in engineering and product outcomes. This position offers competitive benefits and a hybrid working environment.
Senior AI Engineer - LLM/RAG Architect (Hybrid) in Oxford employer: Aurora Energy Research Limited
Contact Detail:
Aurora Energy Research Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - LLM/RAG Architect (Hybrid) in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your expertise in AI and machine learning. This is your chance to demonstrate how you can architect solutions that deliver real value.
✨Tip Number 3
Ace the interview by being ready to discuss not just your technical skills but also how you mentor others and collaborate with product managers. We want to see how you drive excellence in engineering!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior AI Engineer - LLM/RAG Architect (Hybrid) in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI-driven solutions and machine learning techniques. 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! Use it to explain why you’re passionate about AI and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Leadership Skills: Since this role involves mentoring junior team members, make sure to mention any leadership or mentoring experience you have. We value collaboration and want to know how you can help others grow!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Aurora Energy Research Limited
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI and machine learning techniques, especially those related to LLM and RAG architectures. Be ready to discuss your previous projects and how you've applied these technologies in real-world scenarios.
✨Showcase Your Leadership Skills
As a Senior AI Engineer, you'll be expected to mentor junior team members. Prepare examples of how you've successfully led teams or projects in the past, highlighting your ability to guide others and foster a collaborative environment.
✨Understand AWS Integration
Since this role involves integrating AI capabilities on AWS infrastructure, make sure you're familiar with AWS services relevant to AI development. Be prepared to discuss how you've used AWS in previous roles and any best practices you've implemented.
✨Collaborate Like a Pro
This position requires close collaboration with product managers. Think about times when you've worked cross-functionally and how you ensured that the solutions you developed delivered real value. Be ready to share your approach to effective communication and teamwork.
