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- Tasks: Design and develop AI-driven services using large language models and RAG pipelines.
- Company: Leading energy research company based in Oxford with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI in the energy sector.
- Qualifications: Extensive AI/ML experience, strong Python skills, and cloud deployment expertise, especially on AWS.
- Other info: Mentor junior engineers and collaborate with product managers in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading energy research company in Oxford seeks a Senior AI Engineer to develop AI-driven services leveraging large language models and RAG pipelines. This role involves designing scalable AI systems, integrating AI capabilities into software platforms, and mentoring junior engineers. You will work closely with product managers to empower engineering with AI tools, ensuring innovative, reliable solutions.
Ideal candidates have extensive experience in AI/ML, strong Python expertise, and proven skills in cloud deployments, especially on AWS.
Senior AI Engineer | LLM, RAG & Cloud AI Systems in Oxford employer: Aurora Energy Research - EMEA
Contact Detail:
Aurora Energy Research - EMEA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer | LLM, RAG & Cloud AI Systems in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info on what they’re looking for.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving large language models and cloud deployments. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and AI/ML knowledge. Be ready to discuss your past experiences and how they relate to the role. Practice common interview questions and think about how you can demonstrate your problem-solving skills.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior AI Engineer | LLM, RAG & Cloud AI Systems in Oxford
Some tips for your application 🫡
Show Off Your AI Skills: When you're writing your application, make sure to highlight your experience with AI/ML and any projects you've worked on that involved large language models or RAG pipelines. We want to see how you can bring your expertise to our team!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. Mention specific skills like Python and cloud deployments, especially on AWS, to show us you’re the right fit for the role.
Be Clear and Concise: We appreciate clarity! Make sure your application is well-structured and easy to read. Use bullet points where necessary and keep your sentences concise. This helps us quickly see your qualifications and experience.
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 during the process. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Aurora Energy Research - EMEA
✨Know Your AI Stuff
Make sure you brush up on your knowledge of large language models and RAG pipelines. Be ready to discuss your previous projects and how you've applied AI/ML in real-world scenarios. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Off Your Python Skills
Since strong Python expertise is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common algorithms and data structures in Python can really help you shine.
✨Cloud Knowledge is Key
Familiarise yourself with cloud deployments, particularly on AWS. Be prepared to discuss how you've integrated AI capabilities into software platforms using cloud services. Highlight any specific tools or frameworks you've used, as this will show your hands-on experience.
✨Mentorship Mindset
As mentoring junior engineers is part of the role, think about your past experiences in guiding others. Prepare examples of how you've supported team members in their growth and development. This will demonstrate your leadership qualities and commitment to fostering a collaborative environment.
