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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 hybrid working environment for flexibility.
- Why this job: Make a real impact in AI development while mentoring future talent.
- Qualifications: Experience in AI and machine learning, with strong leadership skills.
- Other info: Collaborative culture that champions best practices in engineering.
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) 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)
✨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 can mentor others and collaborate with product managers. We want to see your leadership potential shine through!
✨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 are proactive about their job search!
We think you need these skills to ace Senior AI Engineer - LLM/RAG Architect (Hybrid)
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 process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
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, especially around LLMs and RAG architectures. Be ready to discuss specific projects you've worked on and how they relate to the role. This shows your passion and expertise!
✨Showcase Your Leadership Skills
Since this role involves mentoring junior team members, think of examples where you've successfully led a team or project. Highlight your approach to guiding others and fostering a collaborative environment. Companies love to see candidates who can inspire and uplift their teams.
✨Understand AWS Integration
Familiarise yourself with AWS services relevant to AI solutions. Be prepared to discuss how you've integrated AI capabilities into cloud infrastructure in the past. This will demonstrate your technical prowess and readiness for the challenges of the role.
✨Align with Product Goals
Research the company’s products and think about how your AI solutions can add value. During the interview, express your understanding of product management and how you can collaborate effectively with product managers to drive successful outcomes. This shows you're not just a techie but also a strategic thinker.
